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A little paper on some interesting topics related to logarithms, plus a table of the first thousand. My first book.
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1,000 Logarithms
by Jim HallCopyright November 28, 2009
Introduction
use with a soroban. A soroban is a ja
methods involve more than the most basic math. All of the tables are laid out for legibility and ease of use by the average person.
make copies for others. If you would like to translate this work, please do so.
not be sold or otherwise altered, in whole or in part.
Sincerely,
Jim Hall
November, 2009
Table of Contents
Chapter one
Squaring on a soroban, p.7Napier’s bones, p.8
Chapter twoFinding square roots
Chapter threeFinding Logarithms
Method #1, p.15Method #2, p.16Method #3, p.19Method #4, p.22Method #5, p.23Method #6, p.25
Chapter fourTables
Table #1, 1,000 logarithms, p.29Table #2, small logarithms, p.40Perfect squares, p.41Table #3, multiplication, p.41Table #4, powers of ½, p.42
About Me - p.43
1,000 Logarithms 2 [email protected]
46
Squaring on a soroban, p7Napier’s bones, p.8
needed and felt that you might like, too.
Chapter One
1,000 Logarithms 3 [email protected],000 Logarithms 3 [email protected]
The Common Logarithm
A common logarithm looks like this:Log10 251 = 2.399667 � .399667 is the mantissa
� 2 is the characteristic.
251 is the Antilog of 2.399667
102.399667 ≈ 251
Properties of Common Logarithms
Log (AB) = Log A + Log B
Log (A/B) = Log A - Log B
Log Ab = b Log A
Log (1/A) = - Log A
Implications of the properties of Logarithms
1. Multiplying two numbers can be done using logarithms by adding the Logs of the two numbers together and finding the Antilog.
2. Dividing two numbers is as simple as subtracting the Log of one number from the Log of the other, then finding the Antilog.
3. Powers or roots of numbers can be found by multiplying the logarithm by the power or root. For example, the fifth root of 20 is the Antilog of 1⁄5Log 20.
4. Negative logarithms represent fractional numbers.
Proceed to the next page.
1,000 Logarithms 4 [email protected]
The Common Logarithm
5. The mantissa indicates what digits are in the antilog. The characteristic indicates the number of primary digits (minus one).
Same Mantissa: Log 251 = 2.399667Log 2.51 = 0.399667 � The mantissa is the same. Note the decimal place in the second number.
Same Characteristic:Log 251 = 2.399667Log 322 = 2.507853 � The chartacteristic is the same.Three primary digits.
1,000 Logarithms 5 [email protected]
Scientific Notation
Scientific notation is a special way to represent numbers. This notation makes some calculations easier.
The number "987654" written in scientific notation:9.87654 x 10598.7654 x 104987.654 x 103
9, 98 and 987 - the numbers to the left of the decimal place - are the primary digits. The total digits - 987654 - are the significant figures.
Scientific notation makes it easy to represent both large and small numbers. For example, 4.3 trillion is 4.3 x 1012.
Choose carefully when selecting primary digits. The square root of 98.765 and the square root of 9.8765 are completely different.
Using an even exponent makes finding square roots easier.
For example:√(4 x 1012) = 2 x 106√(16 x 10-12) = 4 x 10-6
1,000 Logarithms 6 [email protected]
Squaring on a soroban
This is a special method for performing multiplication on a soroban. Examine this photograph straight from my notebooks:
Note the text at left, scanned from my notebook. Here the number 9.6236 is being squared. “10)” refers to a stage using a method in this book. Ignore the “10)”.
This method is a special case of long multiplication. Using standard long multiplication, multiplying would begin with the least significant digit to the most significant, right to left. Each level would be shifted left, further and further. Last, the numbers would be added and a result obtained.
I decided that the standard method of multiplication on the soroban was wasteful
of digits. Also, the shifting of long multiplication on paper was wasteful of space. This method corrects both deficiencies.
The levels of significant digits are noted on the left - highest significance to least. The results of multiplying each digit are in the middle. The column of the first digit of each answer is on the right. Each type of digit - “6” for example - needs be multiplied only once. You may note the column of the answers as you do them. Reset the initial number on the soroban for each digit. Once this little table is complete, use the columns as a guide and simply add the answers on the soroban. With practice, it is quite fast. The final answer will appear naturally.
Check the final answer - as mistakes can happen. Correcting mistakes is easy, because the answers can be checked line by line. There is no need to perform the entirety of the multiplication over again. Note that I truncate answers to five digits, but this procedure is good for any number of digits. It is possible to use every digit on the soroban this way - and an entire sheet of paper if you so choose.
1,000 Logarithms 7 [email protected]
Napier’s Bones
Napier’s Bones is a special tool for multiplying one number with several digits by a single digit. The bones are fast and accurate, with little room for error. Napier’s Bones would make an excellent aid to the soroban. Using my special method of squaring with the bones, and adding the results on a soroban would be fast, if not as fast as a calculator.
Unfortunately, Napier’s Bones is not the type of aid you find at the local office supply store. The bones are simple to make, and could even be made out of paper. A chart duplicating the benefits of the bones can be drawn on paper as needed. Although, if the bones chart is drawn, performing the long multiplication instead is probably faster.
Here is what using Napier’s Bones might look like, if you had that tool available:
Let’s find 9.62362 using my instant bones chart:
X 9 6 2 3 6
9
6
2
3
6
0
12
3
45
6
78
9
18 4
5
45 1
21
83
6
18
12 4
06
12
27
18
06
0 18
364
5 12
18
36
= 866124
= 577416
= 192472
= 288708
= 577416
Using a real set of Napier’s Bones, answers would be quick and easy.
One of my upcoming personal projects is making a set of Bones out of ¾-inch hollow aluminum rodstock with an engraver.
1,000 Logarithms 8 [email protected]
1012
Finding square roots is important for using one of Euler’s methods for approximating logarithms. Square roots are also generally useful in
Chapter Two
1,000 Logarithms 9 [email protected],000 Logarithms 9 [email protected]
Finding Square Roots - Babylonian Method
This example shows how to find the square root of 5821 using the babylonian method.
Step one - Rewrite 5821 in scientific notation.5821 is 58.21 x 102
Step two - Find the closest perfect square to the primary digits.The primary digits are 58. 49 is the closest square.
Step three - Note the square root and adjust for scale.√49 = 7√102 = 101 = 107 x 10 = 70
Step four - Find the first estimate.702 = 4900The first estimate is 70.
This specific estimate is 91.74% correct.
Step five - Divide the original number by the estimate.5821/70 = 83.16 (more or less)
Step six - Add the two numbers together70 + 83.16 = 153.16
Step seven - Divide by 2.153.16/2 = 76.5876.58 is approximately 7676 is the new estimate
Step eight - Divide the original number by the new estimate.5821/76 = 76.59The primary digits converge as your estimates improve.76.59 is 99.23% correct.
Proceed to the next page.1,000 Logarithms 10 [email protected]
Finding Square Roots - Babylonian Method
Step nine - Add the two numbers together.76 + 76.59 = 152.59
Step ten - Divide by 2.152.59/2 = 76.29576.295 is the new estimate.
This specific estimate is 99.9988% correct.
Step eleven - Divide 5821 by the new estimate.5821/76.295 = 76.2959 76.29592 = 5821.06476.29552 = 5821.003
And so it goes.
1,000 Logarithms 11 [email protected]
Finding Square Roots - Bakhshali Approximation
This section demonstrates use of the Bakhshali approximation for square roots.
This example will show how to find the square root of 5821.
Part one - Making the first estimate
Step one - Rewrite the number in scientific notation. Sum = 58.21 x 102
Step two - Find the closest perfect square to the sum. The closest perfect square is 49 x 102.
Step three - Find the first estimate.Find the square root of 4900. This is the first estimate for the square root of 5821.The first estimate is 7 x 101 (or 70).
This specific estimate is 91.74% correct.
Part two - Finding the second estimate
Step four - Find the difference between the sum and the first estimate.The difference between the two numbers isSum - estimate = 58.21 - 49.00 = 9.21 (x 102)
Step five - Find the first adjustment.The first improvement to the estimate is the difference divided by twice the closest square root.
First adjustment = difference/(2)(root)= (9.21 x 102)/(2)(7 x 101)= 92.1/14= 6.58 (more or less)
Proceed to the next page.
1,000 Logarithms 12 [email protected]
Finding Square Roots - Bakhshali Approximation
Step six - Find the second estimate.The second estimate is the first estimate plus the adjustment amount.
First estimate = 70Plus the adjustment amount: 6.5870 + 6.58 = 76.58The second estimate is 76.58
This estimate is 99.6% accurate in six easy steps.
Part three - Finding the third estimate
Step seven - Find the second adjustment.The second adjustment is:(First adjustment)2 divided by 2 times the second estimate.6.582 /(2)(76.58) = .283 (more or less)
Step eight - Find the third estimate.The third estimate is the second estimate minus the second adjustment.
Second estimate = 76.58Second adjustment = .28376.58 - .283 = 76.297The second estimate is 76.297
This specific estimate is 99.998% accurate.
Part four - Improving the estimateEven better estimates could be made at this point by continuing the calculations using the Babylonian method.
1,000 Logarithms 13 [email protected]
Method #1, p.15Method #2, p.16Method #3, p.19Method #4, p.22Method #5, p.23Method #6, p.25
logarithm is now available to you, without a calculator. Although, certainly, most people will still use the magic plastic box.
Chapter Three
1,000 Logarithms 14 [email protected],000 Logarithms 14 [email protected]
Finding Logarithms - Method #1
This method uses the log table in this book.
Finding Log 21242This number was chosen because $21,242 represents a yearly income.
Step one - Rewrite the number in scientific notation.21242 = 212.42 x 102
Step two - Round off to the nearest three primary digits.212.42 is close to 212
Step three - Use the log chart in this book to find the logarithm of 212.Log 212 = 2.326333
Step four - Use the properties of logarithms to find the logarithm of 21200.Log 21200 = Log 212 + 2 = 2.326333 + 2= 4.326333
This specific estimate is 99.98% accurate.
1,000 Logarithms 15 [email protected]
Finding Logs - Method #2
This method approximates a logarithm ex nihilo (from nothing).
Finding Log 21482This number was chosen because $21,482 represents a yearly income.
Step one - Find the characteristic of the answer.Rewrite the number in scientific notation so that there is only one primary digit.
21482 = 2.1482 x 104 �Exponent
The exponent of the number is the characteristic of the answer. Here it is 4.
Step two - Make a seven stage chart with a remainder.1)2)3)4)5)6)7)Remainder:
This chart generates the mantissa.
Step three - Fill the chart.Each stage of the chart is the square of the previous stage. Truncate answers to five digits. If the answer is greater than 10, divide it by 10 at the next stage.
1) 2.14822 = 4.61472) 4.61472 = 17.344 (too big! Divide by 10)3) 1.73442 = 3.00814) 3.00812 = 9.04865) 9.04862 = 81.877 (too big! Divide by 10)
Proceed to the next page. 1,000 Logarithms 16 [email protected]
Finding Logs - Method #2
6) 8.18172 = 67.038 (too big! Divide by 10)7) 6.70382 = 44.940 (too big! Divide by 10)Remainder: 4.4940
Step four - Examine the chart. For each stage that require division, add ½stage to the mantissa. The mantissa starts at zero.
2) 4.61472 = 17.344mantissa = mantissa + ½2 (stage 2)
5) 9.04862 = 81.877mantissa = mantissa + ½5 (stage 5)
6) 8.18772 = 67.038mantissa = mantissa + ½6 (stage 6)
7) 6.70382 = 44.940mantissa = mantissa + ½7 (stage 7)
Step five - Add the characteristic to the mantissa. This is the first estimate of the logarithm.
Characteristic = 4Mantissa = ½2 + ½5 + ½6 + ½7 = .3046875First estimate = 4.3046875
This specific estimate is 99.3% accurate.
Optional steps
Step six - Find the first estimate of the logarithm of the remainder. Because the remainder is always one digit, the characteristic is always zero.
Proceed to the next page. 1,000 Logarithms 17 [email protected]
Finding Logs - Method #2
1) 4.4942 = 20.196 (too big! Divide by 10)2) 2.01962 = 4.07873) 4.07872 = 16.635 (too big! Divide by 10)4) 1.66352 = 2.76725) 2.76722 = 7.65736) 7.65732 = 58.634 (too big! Divide by 10)7) 5.86342 = 34.379 (too big! Divide by 10)There is no remainder for this step.
Mantissa = ½1 + ½3 + ½6 + ½7= .6484375
Log 4.4940 = .6484375 (more or less)
Step seven - Find the adjustment to the first estimate.Multiply the logarithm of the remainder by ½7.
½7 x Log 4.4940= 5.066 x 10-3This number is the adjustment.
Step eight - Add the adjustment to the first estimate.4.3046875 + 5.066 x 10-3= 4.3097535This number is the final estimate
This specific estimate is 99.48% accurate.
1,000 Logarithms 18 [email protected]
Finding Logs - Method #3
This method is the same as method two, except that step six is not optional and there are 14 stages. Every prime number in my chart was done with this method. The initial three primes were done with this method on a soroban.
Finding Log 21482This number was chosen because $21,482 represents a yearly income.
Step one - Find the characteristic of the answer.Rewrite the number in scientific notation so that there is only one primary digit.
21482 = 2.1482 x 104 � Exponent The exponent of the number 10 is the characteristic of the answer.
Step two - Make a 14 stage chart with a remainderThis chart is identical to the chart in method #2, step 2, except that the chart is 14 stages instead of 7.
Step three - Fill the chart.Each stage of the chart is the square of the previous stage. Truncate answers to five digits. If the answer is greater than 10, divide it by 10 at the next stage.
1) 2.14822 = 4.61472) 4.61472 = 17.344 (too big! Divide by 10)3) 1.73442 = 3.00814) 3.00812 = 9.04865) 9.04862 = 81.877 (too big! Divide by 10)6) 8.18172 = 67.038 (too big! Divide by 10)7) 6.70382 = 44.940 (too big! Divide by 10)8) 4.49402 = 20.196 (too big! Divide by 10)9) 2.01962 = 4.078710) 4.07872 = 16.635 (too big! Divide by 10)11) 1.66352 = 2.767212) 2.76722 = 7.657313) 7.65732 = 58.634 (too big! Divide by 10)
Proceed to the next page.1,000 Logarithms 19 [email protected]
Finding Logs - Method #3
14) 5.86342 = 34.379 (too big! Divide by 10)Remainder: 3.4379
Step four - Examine the chart. For each stage that require division, add ½stage to the mantissa. The mantissa starts at zero.
2) 4.61472 = 17.344mantissa = mantissa + ½2 (stage 2)
5) 9.04862 = 81.877mantissa = mantissa + ½5 (stage 5)
6) 8.18772 = 67.038mantissa = mantissa + ½6 (stage 6)
7) 6.70382 = 44.940mantissa = mantissa + ½7 (stage 7)
8) 4.49402 = 20.196 mantissa = mantissa + ½8 (stage 8)
10) 4.07872 = 16.635 mantissa = mantissa + ½10 (stage 10)
13) 7.65732 = 58.634mantissa = mantissa + ½13 (stage 13)
14) 5.86342 = 34.379mantissa = mantissa + ½14 (stage 14)
The mantissa is .30975341
Step five - Find the first estimate.Add the characteristic and the mantissa.
Proceed to the next page.
1,000 Logarithms 20 [email protected]
Finding Logs - Method #3
Characteristic = 4Mantissa = .30975341Characteristic + mantissa = first estimate.First estimate = 4.30975341
This specific estimate is 99.48% accurate.
Step six - Find the first estimate of the logarithm of the remainder.Although you can repeat the 14-stage tabulation, I suggest finding another way. Use your best judgment, and make an informed, but quick, estimation. Accuracy is not essential at this stage. One method for estimating the remainder is to use the logarithm chart in this book.
Log 4 = .602060Log 3 = .477120Log 3.4379 ≈ (Log 4 + Log 3) /2 (≈ .5396)
Step seven - Find the adjustment.Multiply the remainder's logarithm by ½14.(½14)(.5396) ≈ 3.293 x 10-5
Rounding to four digits makes for simpler math at this stage.
Step eight - Find the second estimate.Add the adjustment to the first estimate.4.30975341 + 3.293 x 10-5= 4.30978634This is the second estimate.
This specific estimate is 99.48% accurate.
For numbers under four digits this method is close to 99.9995% accurate. The lesson here is that accuracy is relative. Select your tools carefully.
1,000 Logarithms 21 [email protected]
Finding Logs - Method #4
Estimating a logarithm using known logarithms without factoring. This method uses the logarithm chart in this book.
Finding Log 21482This number was chosen because $21,482 represents a yearly income.
Step one - Identify the upper and lower bounds of the estimate.
Log 21400 and Log 21500 are good choices for bounds, because each one is similar to a known logarithm + 2. For example, Log 21400 = Log 214 + 2.
The lower bound for the logarithm of 21482 is 4.330406 (Log 21400).
The upper bound for the logarithm of 21482 is 4.332435 (Log 21500).
Step two - Find the difference between the upper and lower bounds.Log 21500 - Log 21400 is 2.029 x 10-3. 100% of the difference is 2.029 x 10-3.
The difference between 21482 and 21400 is 82. The difference between 21400 and 21500 is 100.
Step three - Find the first adjustment.82⁄100 = 82% (2.029 x 10-3) x 82% = 1.663 x 10-3This is the first adjustment.
Step four - Find the second estimate.The second estimate is the first estimate plus the adjustment.4.330406 + 1.663 x 10-3 = 4.332069This is the second estimate.
This specific estimate is 99.9998% accurate.
1,000 Logarithms 22 [email protected]
Finding Logs - Method #5
Estimating a logarithm using known logarithms using factoring. This method uses the logarithm chart in this book. The key is breaking down large numbers quickly into factors that you know or can find easily.
Finding Log 21482This number was chosen because $21,482 represents a yearly income.
Step one - Find the first estimateFactor 21482Sometimes numbers have obnoxious factors. This step could take lots of time!Remember the square root methods earlier in this book?√21482 = 146 (more or less) and 146*147 = 21462
Therefore, due to the properties of logarithms ...Log 146 + Log 147 = Log 21462 = 4.331663This is the first estimate
This specific estimate is 99.99% accurate. But $20 is a lot of error.
Step two - Improving the estimate
Better factoring will give better answers. Common factors of numbers are the prime numbers.Good choices are 2, 3, 5, 7, 9, 11, 13, 17, 19 and 23.
If you are in a hurry, find the next nearest factors instead. Step three - Estimating the next nearest factors
21482 / 2 = 1074110741 / 2 = 5370 (more or less)5370/10 = 537 (Log 537 is on the chart in this book)537 x 10 x 2 x 2 = 21480 21480 is within 2 points of 21482.
Proceed to the next page.1,000 Logarithms 23 [email protected]
Finding Logs - Method #5
Since 21482 represents $21,482, a difference of $2 is small.… but two dollars is two dollars.
The actual factors of 21482 are 23 and 934.Skip to step 5 if you want to see the accuracy that $2 can buy.
Step four - Find the second estimate based on the next nearest factors.
Log 537 = 2.729969Log 10 = 1Log 2 = 0.30103Log 537 + Log 10 + Log 2 + log 2= 4.332029
This is the second estimate.This estimate is 99.9989% accurate.
Step five - Find the third estimate based on the actual factors.The actual factors of 21482 are 23 and 934.
Log 934 = 2.970334Log 23 = 1.361727Log 21482 = Log 934 + Log 23= 4.332061This is the third estimate. This estimate is 99.9997% accurate.
All three estimates have their purpose. Even the worst estimate was 99.99% correct. Application helps determine the acceptable error, but that is the topic of another book.
1,000 Logarithms 24 [email protected]
Finding Logarithms - Method #6 - Euler's method
This is a method for finding logarithms based mostly on a method demonstrated by Euler.
Finding Log 21482This number was chosen because it represents a yearly income.
Step one - Find an upper and lower bounds based on known logarithms.Upper bound: 21500This log is known because 215 is on the chart in this book.Log 21500 = Log 215 + 2
Lower bound: 21400Log 21400 = Log 214 + 2
Step two - Start a list using the chosen bounds.A - 21500B - 21400
Step three - Find the mean of the upper and lower bounds.The mean of A and B is √(AB)√(AB) = 21449.94172
Add C to the list:√(AB) C = 21449.94172
Note that Log C is unknown at this stage.
Step four - Set the new upper and lower bounds based on the new list.
C is less than 21482 but greater than B.C is the new lower bound.
Step five - Find the mean of the upper and lower bounds.√(AC) D = 21474.95627Add D to the list.
Proceed to the next page.1,000 Logarithms 25 [email protected]
Finding Logarithms - Method #6 - Euler's method
Step six - Set the new upper and lower bounds based on the new list.
D is less than 21482 but greater than C.D is the new lower bound.
Step seven - Find the mean of the upper and lower bounds.
√(AD) E = 21487.47449Add E to the list
Step eight - Set the new upper and lower bounds based on the new list.
E is greater than 21482 but less than A.E is the new upper bound.
Step nine - Find the mean of the upper and lower bounds.
√(ED) F = 21481.21447Add F to the list.
Note that the upper and lower bounds converge towards 21482.21481 is close enough to 21482 for demonstration purposes.
The list now looks like this:A = 21500B = 21400
√AB C = 21449.94172√AC D = 21474.95627√AD E = 21487.47449√ED F = 21481.21447
Step 10 - Add logarithms of A and B to the list.A = 21500 Log A = 4.332435B = 21400 Log B = 4.330406
Proceed to the next page.1,000 Logarithms 26 [email protected]
Finding Logarithms - Method #6 - Euler's method
Step 11 - Find the logarithm of C.
Log C = (Log A + Log B)/2= 4.3314205Add Log C to the list
√AB C = 21449.94172 Log C = 4.3314205
Step 12 - Find the logarithm of D.
Log D = (Log A + Log C)/2= 4.33192775Add Log D to the list
√AC D = 21474.95627 Log D = 4.33192775
Step 13 - Find the logarithm of E.
Log E = (Log A + Log D)/2= 4.332181375Add Log E to the list
√AD E = 21487.47449 Log E = 4.332181375
Step 14 - Find the logarithm of F.
Log F = (Log E + Log D)/2= 4.332054563Add Log F to the list
√ED F = 21481.21447 Log F = 4.332054563
Log F is approximately 4.332055
Even though F, 21481, is not equal to 21482, this estimate is 99.9995% correct.
1,000 Logarithms 27 [email protected]
Table #1, 1,000 logarithms, p.29Table #2, small logarithms, p.40Perfect squares, p.41Table #3, multiplication, p.41Table #4, powers of ½, p.42
Table #1 contains the logarithms of the numbers from 1 to 1000 in an open, of space and digits. Table #2 contains
the value of Pi and two small values near 1. Table #4 was created on a soroban to silly levels of precision.
Chapter Four
1,000 Logarithms 28 [email protected],000 Logarithms 28 [email protected]
Table 1: 1,000 Logarithms
1 02 0 . 3 0 1 0 3 03 0 . 4 7 7 1 2 04 0 . 6 0 2 0 6 05 0 . 6 9 8 9 7 06 0 . 7 7 8 1 5 07 0 . 8 4 5 0 9 68 0 . 9 0 3 0 9 09 0 . 9 5 4 2 4 010 1
31 1 . 4 9 1 3 6 132 1 . 5 0 5 1 5 033 1 . 5 1 8 5 0 934 1 . 5 3 1 4 7 835 1 . 5 4 4 0 6 636 1 . 5 5 6 3 0 037 1 . 5 6 8 1 9 638 1 . 5 7 9 7 8 139 1 . 5 9 1 0 6 340 1.602060
41 1 . 6 1 2 7 8 042 1 . 6 2 3 2 4 643 1 . 6 3 3 4 6 544 1 . 6 4 3 4 4 945 1 . 6 5 3 2 1 046 1 . 6 6 2 7 5 747 1 . 6 7 2 0 9 448 1 . 6 8 1 2 4 049 1 . 6 9 0 1 9 250 1.698970
51 1 . 7 0 7 5 6 852 1 . 7 1 6 0 0 353 1 . 7 2 4 2 7 354 1 . 7 3 2 3 9 055 1 . 7 4 0 3 5 956 1 . 7 4 8 1 8 657 1 . 7 5 5 8 7 158 1 . 7 6 3 4 2 759 1 . 7 7 0 8 4 860 1.778150
61 1 . 7 8 5 3 2 262 1 . 7 9 2 3 9 163 1 . 7 9 9 3 3 664 1 . 8 0 6 1 8 065 1 . 8 1 2 9 1 366 1 . 8 1 9 5 3 967 1 . 8 2 6 0 7 368 1 . 8 3 2 5 0 869 1 . 8 3 8 8 4 770 1.845096
71 1 . 8 5 1 2 5 472 1 . 8 5 7 3 3 073 1 . 8 6 3 3 2 174 1 . 8 6 9 2 2 675 1 . 8 7 5 0 6 076 1 . 8 8 0 8 1 177 1 . 8 8 6 4 8 578 1 . 8 9 2 0 9 379 1 . 8 9 7 6 2 680 1.903090
81 1 . 9 0 8 4 8 082 1 . 9 1 3 8 1 083 1 . 9 1 9 0 7 784 1 . 9 2 4 2 7 685 1 . 9 2 9 4 1 886 1 . 9 3 4 4 9 587 1 . 9 3 9 5 1 788 1 . 9 4 4 4 7 989 1 . 9 4 9 3 8 890 1.954240
21 1 . 3 2 2 2 1 622 1 . 3 4 2 4 1 923 1 . 3 6 1 7 2 724 1 . 3 8 0 2 0 025 1 . 3 9 7 9 4 026 1 . 4 1 4 9 7 327 1 . 4 3 1 3 6 028 1 . 4 4 7 1 5 629 1 . 4 6 2 3 9 730 1.477120
11 1 . 0 4 1 3 8 912 1 . 0 7 9 1 8 013 1 . 1 1 3 9 4 314 1 . 1 4 6 1 2 615 1 . 1 7 6 0 9 016 1 . 2 0 4 1 2 017 1 . 2 3 0 4 4 818 1 . 2 5 5 2 7 019 1 . 2 7 8 7 5 120 1.301030
1,000 Logarithms 29 [email protected]
Table 1: 1,000 Logarithms
91 1 . 9 5 9 0 3 992 1 . 9 6 3 7 8 793 1 . 9 6 8 4 8 194 1 . 9 7 3 1 2 495 1 . 9 7 7 7 2 196 1 . 9 8 2 2 7 097 1 . 9 8 6 7 6 598 1 . 9 9 1 2 2 299 1 . 9 9 5 6 2 9100 2
121 2 . 0 8 2 7 7 8122 2 . 0 8 6 3 5 2123 2 . 0 8 9 9 0 0124 2 . 0 9 3 4 2 1125 2 . 0 9 6 9 1 0126 2 . 1 0 0 3 6 6127 2 . 1 0 3 7 9 9128 2 . 1 0 7 2 1 0129 2 . 1 1 0 5 8 5130 2.113943
131 2 . 1 1 7 2 6 7132 2 . 1 2 0 5 6 9133 2 . 1 2 3 8 4 7134 2 . 1 2 7 1 0 3135 2 . 1 3 0 3 3 0136 2 . 1 3 3 5 3 8137 2 . 1 3 6 7 1 6138 2 . 1 3 9 8 7 7139 2 . 1 4 3 0 1 5140 2.146126
141 2 . 1 4 9 2 1 4142 2 . 1 5 2 2 8 4143 2 . 1 5 5 3 3 2144 2 . 1 5 8 3 6 0145 2 . 1 6 1 3 6 7146 2 . 1 6 4 3 5 1147 2 . 1 6 7 3 1 2148 2 . 1 7 0 2 5 6149 2 . 1 7 3 1 8 5150 2.176090
151 2 . 1 7 8 9 7 3152 2 . 1 8 1 8 4 1153 2 . 1 8 4 6 8 8154 2 . 1 8 7 5 1 5155 2 . 1 9 0 3 3 1156 2 . 1 9 3 1 2 3157 2 . 1 9 5 8 9 9158 2 . 1 9 8 6 5 6159 2 . 2 0 1 3 9 3160 2.204120
161 2 . 2 0 6 8 2 3162 2 . 2 0 9 5 1 0163 2 . 2 1 2 1 8 7164 2 . 2 1 4 8 4 0165 2 . 2 1 7 4 7 9166 2 . 2 2 0 1 0 7167 2 . 2 2 2 7 1 3168 2 . 2 2 5 3 0 6169 2 . 2 2 7 8 8 6170 2.230448
171 2 . 2 3 2 9 9 1172 2 . 2 3 5 5 2 5173 2 . 2 3 8 0 4 6174 2 . 2 4 0 5 4 7175 2 . 2 4 3 0 3 6176 2 . 2 4 5 5 0 9177 2 . 2 4 7 9 6 8178 2 . 2 5 0 4 1 8179 2 . 2 5 2 8 4 9180 2.255270
111 2 . 0 4 5 3 1 6112 2 . 0 4 9 2 1 6113 2 . 0 5 3 0 7 2114 2 . 0 5 6 9 0 1115 2 . 0 6 0 6 9 7116 2 . 0 6 4 4 5 7117 2 . 0 6 8 1 8 3118 2 . 0 7 1 8 7 8119 2 . 0 7 5 5 4 4120 2.079180
101 2 . 0 0 4 3 1 7102 2 . 0 0 8 5 9 8103 2 . 0 1 2 8 3 6104 2 . 0 1 7 0 3 3105 2 . 0 2 1 1 8 6106 2 . 0 2 5 3 0 3107 2 . 0 2 9 3 7 6108 2 . 0 3 3 4 2 0109 2 . 0 3 7 4 2 4110 2.041389
1,000 Logarithms 30 [email protected]
Table 1: 1,000 Logarithms
181 2 . 2 5 7 6 6 6182 2 . 2 6 0 0 6 9183 2 . 2 6 2 4 4 2184 2 . 2 6 4 8 1 7185 2 . 2 6 7 1 6 6186 2 . 2 6 9 5 1 1187 2 . 2 7 1 8 3 7188 2 . 2 7 4 1 5 4189 2 . 2 7 6 4 5 6190 2.278751
211 2 . 3 2 4 2 7 8212 2 . 3 2 6 3 3 3213 2 . 3 2 8 3 7 4214 2 . 3 3 0 4 0 6215 2 . 3 3 2 4 3 5216 2 . 3 3 4 4 5 0217 2 . 3 3 6 4 5 7218 2 . 3 3 8 4 5 4219 2 . 3 4 0 4 4 1220 2.342419
221 2 . 3 4 4 3 9 1222 2 . 3 4 6 3 4 6223 2 . 3 4 8 3 0 0224 2 . 3 5 0 2 4 6225 2 . 3 5 2 1 8 0226 2 . 3 5 4 1 0 2227 2 . 3 5 6 0 2 3228 2 . 3 5 7 9 3 1229 2 . 3 5 9 8 3 2230 2.361727
231 2 . 3 6 3 6 0 5232 2 . 3 6 5 4 8 7233 2 . 3 6 7 3 5 0234 2 . 3 6 9 2 1 3235 2 . 3 7 1 0 6 4236 2 . 3 7 2 9 0 8237 2 . 3 7 4 7 4 6238 2 . 3 7 6 5 7 4239 2 . 3 7 8 3 9 0240 2.380200
241 2 . 3 8 2 0 1 2242 2 . 3 8 3 8 0 8243 2 . 3 8 5 6 0 0244 2 . 3 8 7 3 8 2245 2 . 3 8 9 1 6 2246 2 . 3 9 0 9 3 0247 2 . 3 9 2 6 9 4248 2 . 3 9 4 4 5 1249 2 . 3 9 6 1 9 7250 2.397940
251 2 . 3 9 9 6 6 7252 2 . 4 0 1 3 9 6253 2 . 4 0 3 1 1 6254 2 . 4 0 4 8 2 9255 2 . 4 0 6 5 3 8256 2 . 4 0 8 2 4 0257 2 . 4 0 9 9 3 0258 2 . 4 1 1 6 1 5259 2 . 4 1 3 2 9 2260 2.414973
261 2 . 4 1 6 6 3 7262 2 . 4 1 8 2 9 7263 2 . 4 1 9 9 5 1264 2 . 4 2 1 5 9 9265 2 . 4 2 3 2 4 3266 2 . 4 2 4 8 7 7267 2 . 4 2 6 5 0 8268 2 . 4 2 8 1 3 3269 2 . 4 2 9 7 4 9270 2.431360
201 2 . 3 0 3 1 9 3202 2 . 3 0 5 3 4 7203 2 . 3 0 7 4 9 3204 2 . 3 0 9 6 2 8205 2 . 3 1 1 7 5 0206 2 . 3 1 3 8 6 6207 2 . 3 1 5 9 6 7208 2 . 3 1 8 0 6 3209 2 . 3 2 0 1 4 0210 2.322216
191 2 . 2 8 1 0 2 7192 2 . 2 8 3 3 0 0193 2 . 2 8 5 5 4 6194 2 . 2 8 7 7 9 5195 2 . 2 9 0 0 3 3196 2 . 2 9 2 2 5 2197 2 . 2 9 4 4 6 3198 2 . 2 9 6 6 5 9199 2 . 2 9 8 8 4 9200 2.301030
1,000 Logarithms 31 [email protected]
Table 1: 1,000 Logarithms
271 2 . 4 3 2 9 6 5272 2 . 4 3 4 5 6 8273 2 . 4 3 6 1 5 9274 2 . 4 3 7 7 4 6275 2 . 4 3 9 3 2 9276 2 . 4 4 0 9 0 7277 2 . 4 4 2 4 7 7278 2 . 4 4 4 0 4 5279 2 . 4 4 5 6 0 1280 2.447156
301 2 . 4 7 8 5 6 1302 2 . 4 8 0 0 0 3303 2 . 4 8 1 4 3 7304 2 . 4 8 2 8 7 1305 2 . 4 8 4 2 9 2306 2 . 4 8 5 7 1 8307 2 . 4 8 7 1 3 4308 2 . 4 8 8 5 4 5309 2 . 4 8 9 9 5 6310 2.491361
311 2 . 4 9 2 7 6 1312 2 . 4 9 4 1 5 3313 2 . 4 9 5 5 4 3314 2 . 4 9 6 9 2 9315 2 . 4 9 8 3 0 6316 2 . 4 9 9 6 8 6317 2 . 5 0 1 0 2 9318 2 . 5 0 2 4 2 3319 2 . 5 0 3 7 8 6320 2.505150
321 2 . 5 0 6 4 9 6322 2 . 5 0 7 8 5 3323 2 . 5 0 9 1 9 9324 2 . 5 1 0 5 4 0325 2 . 5 1 1 8 8 3326 2 . 5 1 3 2 1 7327 2 . 5 1 4 5 4 4328 2 . 5 1 5 8 7 0329 2 . 5 1 7 1 9 0330 2.518509
331 2 . 5 1 9 8 2 0332 2 . 5 2 1 1 3 7333 2 . 5 2 2 4 3 6334 2 . 5 2 3 7 4 3335 2 . 5 2 5 0 4 3336 2 . 5 2 6 3 3 6337 2 . 5 2 7 6 0 4338 2 . 5 2 8 9 1 6339 2 . 5 3 0 1 9 2340 2.531478
341 2 . 5 3 2 7 5 0342 2 . 5 3 4 0 2 1343 2 . 5 3 5 2 8 8344 2 . 5 3 6 5 5 5345 2 . 5 3 7 8 1 7346 2 . 5 3 9 0 7 6347 2 . 5 4 0 3 0 9348 2 . 5 4 1 5 7 7349 2 . 5 4 2 8 1 9350 2.544066
351 2 . 5 4 5 3 0 3352 2 . 5 4 6 5 3 9353 2 . 5 4 7 7 5 5354 2 . 5 4 8 9 9 8355 2 . 5 5 0 2 2 4356 2 . 5 5 1 4 4 8357 2 . 5 5 2 6 6 4358 2 . 5 5 3 8 7 9359 2 . 5 5 5 0 9 1360 2.556300
291 2 . 4 6 3 8 8 5292 2 . 4 6 5 3 8 1293 2 . 4 6 6 8 6 7294 2 . 4 6 8 3 4 2295 2 . 4 6 9 8 1 8296 2 . 4 7 1 2 8 6297 2 . 4 7 2 7 4 9298 2 . 4 7 4 2 1 5299 2 . 4 7 5 6 7 0300 2.477120
281 2 . 4 4 8 7 0 2282 2 . 4 5 0 2 4 4283 2 . 4 5 1 7 8 2284 2 . 4 5 3 3 1 4285 2 . 4 5 4 8 4 1286 2 . 4 5 6 3 6 2287 2 . 4 5 7 8 7 6288 2 . 4 5 9 3 9 0289 2 . 4 6 0 8 9 6290 2.462397
1,000 Logarithms 32 [email protected]
Table 1: 1,000 Logarithms
361 2 . 5 5 7 5 0 2362 2 . 5 5 8 6 9 6363 2 . 5 5 9 8 9 8364 2 . 5 6 1 0 9 9365 2 . 5 6 2 2 9 1366 2 . 5 6 3 4 7 2367 2 . 5 6 4 6 4 8368 2 . 5 6 5 8 4 7369 2 . 5 6 7 0 2 0370 2.568196
391 2 . 5 9 2 1 7 5392 2 . 5 9 3 2 8 2393 2 . 5 9 4 3 8 7394 2 . 5 9 5 4 9 3395 2 . 5 9 6 5 9 6396 2 . 5 9 7 6 8 9397 2 . 5 9 8 7 7 3398 2 . 5 9 9 8 7 9399 2 . 6 0 0 9 6 7400 2.602060
401 2 . 6 0 3 1 3 7402 2 . 6 0 4 2 2 3403 2 . 6 0 5 3 0 4404 2 . 6 0 6 3 7 7405 2 . 6 0 7 0 5 0406 2 . 6 0 8 5 2 3407 2 . 6 0 9 5 8 5408 2 . 6 1 0 6 5 8409 2 . 6 1 1 7 1 8410 2.612780
411 2 . 6 1 3 8 3 6412 2 . 6 1 4 8 9 6413 2 . 6 1 5 9 4 4414 2 . 6 1 6 9 9 7415 2 . 6 1 8 0 4 7416 2 . 6 1 9 0 9 3417 2 . 6 2 0 1 3 5418 2 . 6 2 1 1 7 0419 2 . 6 2 2 2 1 1420 2.623246
421 2 . 6 2 4 2 7 7422 2 . 6 2 5 3 0 8423 2 . 6 2 6 3 3 4424 2 . 6 2 7 3 6 3425 2 . 6 2 8 3 8 8426 2 . 6 2 9 4 0 4427 2 . 6 3 0 4 1 8428 2 . 6 3 1 4 3 6429 2 . 6 3 2 4 5 2430 2.633465
431 2 . 6 3 4 4 7 0432 2 . 6 3 5 4 8 0433 2 . 6 3 6 4 7 0434 2 . 6 3 7 4 8 7435 2 . 6 3 8 4 8 7436 2 . 6 3 9 4 8 4437 2 . 6 4 0 4 7 8438 2 . 6 4 1 4 7 1439 2 . 6 4 2 4 5 5440 2.643449
441 2 . 6 4 4 4 3 2442 2 . 6 4 5 4 2 1443 2 . 6 4 6 3 9 0444 2 . 6 4 7 3 7 6445 2 . 6 4 8 3 5 8446 2 . 6 4 9 3 3 0447 2 . 6 5 0 3 0 5448 2 . 6 5 1 2 7 6449 2 . 6 5 2 2 4 0450 2.653210
381 2 . 5 8 0 9 1 9382 2 . 5 8 2 0 5 7383 2 . 5 8 3 1 8 3384 2 . 5 8 4 3 3 0385 2 . 5 8 5 4 5 5386 2 . 5 8 6 5 7 6387 2 . 5 8 7 7 0 5388 2 . 5 8 8 8 2 5389 2 . 5 8 9 9 4 3390 2.591063
371 2 . 5 6 9 3 6 9372 2 . 5 7 0 5 4 1373 2 . 5 7 1 6 8 8374 2 . 5 7 2 8 6 7375 2 . 5 7 4 0 3 0376 2 . 5 7 5 1 8 4377 2 . 5 7 6 3 4 0378 2 . 5 7 7 4 8 6379 2 . 5 7 8 6 3 2380 2.579781
1,000 Logarithms 33 [email protected]
Table 1: 1,000 Logarithms
451 2 . 6 5 4 1 6 9452 2 . 6 5 5 1 3 2453 2 . 6 5 6 0 9 3454 2 . 6 5 7 0 5 3455 2 . 6 5 8 0 0 9456 2 . 6 5 8 9 6 1457 2 . 6 5 9 9 0 3458 2 . 6 6 0 8 6 2459 2 . 6 6 1 8 0 8460 2.662757
481 2 . 6 8 2 1 3 9482 2 . 6 8 3 0 4 2483 2 . 6 8 3 9 4 3484 2 . 6 8 4 8 3 8485 2 . 6 8 5 7 3 5486 2 . 6 8 6 6 3 0487 2 . 6 8 7 5 1 8488 2 . 6 8 8 4 1 2489 2 . 6 8 9 3 0 7490 2.690192
491 2 . 6 9 1 0 7 7492 2 . 6 9 1 9 6 0493 2 . 6 9 2 8 4 5494 2 . 6 9 3 7 2 4495 2 . 6 9 4 5 9 9496 2 . 6 9 5 4 8 1497 2 . 6 9 6 3 5 0498 2 . 6 9 7 2 2 7499 2 . 6 9 8 0 9 9500 2.698970
501 2 . 6 9 9 8 3 3502 2 . 7 0 0 6 9 7503 2 . 7 0 1 5 5 6504 2 . 7 0 2 4 2 6505 2 . 7 0 3 2 8 7506 2 . 7 0 4 1 4 6507 2 . 7 0 5 0 0 6508 2 . 7 0 5 8 5 9509 2 . 7 0 6 7 1 4510 2.707568
511 2 . 7 0 8 4 1 7512 2 . 7 0 9 2 7 0513 2 . 7 1 0 1 1 1514 2 . 7 1 0 9 6 0515 2 . 7 1 1 8 0 6516 2 . 7 1 2 6 4 5517 2 . 7 1 3 4 8 3518 2 . 7 1 4 3 2 2519 2 . 7 1 5 1 6 6520 2.716003
521 2 . 7 1 6 8 3 4522 2 . 7 1 7 6 6 7523 2 . 7 1 8 4 9 3524 2 . 7 1 9 3 2 7525 2 . 7 2 0 1 5 6526 2 . 7 2 0 9 8 1527 2 . 7 2 1 8 0 9528 2 . 7 2 2 6 2 9529 2 . 7 2 3 4 5 4530 2.724273
531 2 . 7 2 5 0 8 8532 2 . 7 2 5 9 0 7533 2 . 7 2 6 7 2 3534 2 . 7 2 7 5 3 8535 2 . 7 2 8 3 4 6536 2 . 7 2 9 1 6 3537 2 . 7 2 9 9 6 9538 2 . 7 3 0 7 7 9539 2 . 7 3 1 5 8 1540 2.732390
471 2 . 6 7 3 0 1 9472 2 . 6 7 3 9 3 8473 2 . 6 7 4 8 5 4474 2 . 6 7 5 7 7 6475 2 . 6 7 6 6 9 1476 2 . 6 7 7 6 0 4477 2 . 6 7 8 5 1 3478 2 . 6 7 9 4 2 0479 2 . 6 8 0 3 3 1480 2.681240
461 2 . 6 6 3 6 9 5462 2 . 6 6 4 6 3 5463 2 . 6 6 5 5 7 0464 2 . 6 6 6 5 1 7465 2 . 6 6 7 4 5 1466 2 . 6 6 8 3 8 0467 2 . 6 6 9 3 0 4468 2 . 6 7 0 2 4 3469 2 . 6 7 1 1 6 9470 2.672094
1,000 Logarithms 34 [email protected]
Table 1: 1,000 Logarithms
541 2 . 7 3 3 1 9 5542 2 . 7 3 3 9 9 5543 2 . 7 3 4 7 8 6544 2 . 7 3 5 5 9 8545 2 . 7 3 6 3 9 4546 2 . 7 3 7 1 8 9547 2 . 7 3 7 9 8 1548 2 . 7 3 8 7 7 6549 2 . 7 3 9 5 6 2550 2.740359
571 2 . 7 5 6 6 1 8572 2 . 7 5 7 3 9 2573 2 . 7 5 8 1 4 7574 2 . 7 5 8 9 0 6575 2 . 7 5 9 6 6 7576 2 . 7 6 0 4 2 0577 2 . 7 6 1 1 6 2578 2 . 7 6 1 2 9 6579 2 . 7 6 2 6 6 6580 2.763427
581 2 . 7 6 4 1 7 3582 2 . 7 6 4 9 1 5583 2 . 7 6 5 6 6 2584 2 . 7 6 6 4 1 1585 2 . 7 6 7 1 5 3586 2 . 7 6 7 8 9 7587 2 . 7 6 8 6 2 8588 2 . 7 6 9 3 7 2589 2 . 7 7 0 1 1 2590 2.770848
591 2 . 7 7 1 5 8 3592 2 . 7 7 2 3 1 6593 2 . 7 7 3 0 4 7594 2 . 7 7 3 7 7 9595 2 . 7 7 4 5 1 4596 2 . 7 7 5 2 4 5597 2 . 7 7 5 9 6 9598 2 . 7 7 6 7 0 0599 2 . 7 7 7 4 1 9600 2.778150
601 2 . 7 7 8 8 6 6602 2 . 7 7 9 5 9 1603 2 . 7 8 0 3 1 3604 2 . 7 8 1 0 3 3605 2 . 7 8 1 7 4 8606 2 . 7 8 2 4 6 7607 2 . 7 8 3 1 7 5608 2 . 7 8 3 9 0 1609 2 . 7 8 4 6 1 3610 2.785322
611 2 . 7 8 6 0 3 7612 2 . 7 8 6 7 4 8613 2 . 7 8 7 4 4 9614 2 . 7 8 8 1 6 4615 2 . 7 8 8 8 7 0616 2 . 7 8 9 5 7 5617 2 . 7 9 0 2 7 2618 2 . 7 9 0 9 8 6619 2 . 7 9 1 6 8 7620 2.792391
621 2 . 7 9 3 0 8 7622 2 . 7 9 3 7 9 1623 2 . 7 9 4 4 8 4624 2 . 7 9 5 1 8 3625 2 . 7 9 5 8 8 0626 2 . 7 9 6 5 7 3627 2 . 7 9 7 2 6 0628 2 . 7 9 7 9 5 9629 2 . 7 9 8 6 4 4630 2.799336
561 2 . 7 4 8 9 5 7562 2 . 7 4 9 7 3 2563 2 . 7 5 0 4 9 3564 2 . 7 5 1 2 7 4565 2 . 7 5 2 0 4 2566 2 . 7 5 2 8 1 2567 2 . 7 5 3 5 7 6568 2 . 7 5 4 3 4 4569 2 . 7 5 5 1 0 7570 2.755871
551 2 . 7 4 1 1 4 8552 2 . 7 4 1 9 3 7553 2 . 7 4 2 7 2 2554 2 . 7 4 3 5 0 7555 2 . 7 4 4 2 8 6556 2 . 7 4 5 0 7 5557 2 . 7 4 5 8 4 7558 2 . 7 4 6 6 3 1559 2 . 7 4 7 4 0 8560 2.748186
1,000 Logarithms 35 [email protected]
Table 1: 1,000 Logarithms
631 2 . 8 0 0 0 2 5632 2 . 8 0 0 7 1 6633 2 . 8 0 1 3 9 8634 2 . 8 0 2 0 5 9635 2 . 8 0 2 7 6 9636 2 . 8 0 3 4 5 3637 2 . 8 0 4 1 3 5638 2 . 8 0 4 8 1 6639 2 . 8 0 5 4 9 4640 2.806180
661 2 . 8 2 0 1 9 0662 2 . 8 2 0 8 5 0663 2 . 8 2 1 5 1 1664 2 . 8 2 2 1 6 7665 2 . 8 2 2 8 1 7666 2 . 8 2 3 4 6 6667 2 . 8 2 4 1 2 4668 2 . 8 2 4 7 7 3669 2 . 8 2 5 4 2 0670 2.826073
671 2 . 8 2 6 7 1 1672 2 . 8 2 7 3 6 6673 2 . 8 2 8 0 0 3674 2 . 8 2 8 6 3 4675 2 . 8 2 9 3 0 0676 2 . 8 2 9 9 4 6677 2 . 8 3 0 5 7 9678 2 . 8 3 1 2 2 2679 2 . 8 3 1 8 6 1680 2.832508
681 2 . 8 3 3 1 4 3682 2 . 8 3 3 7 8 0683 2 . 8 3 4 4 1 2684 2 . 8 3 5 0 5 1685 2 . 8 3 5 6 8 6686 2 . 8 3 6 3 1 8687 2 . 8 3 6 9 5 2688 2 . 8 3 7 5 8 5689 2 . 8 3 8 2 1 6690 2.838847
691 2 . 8 3 9 4 7 2692 2 . 8 4 0 1 0 6693 2 . 8 4 0 7 2 5694 2 . 8 4 1 3 3 9695 2 . 8 4 1 9 8 5696 2 . 8 4 2 6 0 7697 2 . 8 4 3 2 2 8698 2 . 8 4 3 8 4 9699 2 . 8 4 4 4 7 0700 2.845096
701 2 . 8 4 5 7 1 2702 2 . 8 4 6 3 3 3703 2 . 8 4 6 9 4 7704 2 . 8 4 7 5 6 9705 2 . 8 4 8 1 8 4706 2 . 8 4 8 7 8 5707 2 . 8 4 9 4 1 3708 2 . 8 5 0 0 2 8709 2 . 8 5 0 6 4 2710 2.851254
711 2 . 8 5 1 8 6 6712 2 . 8 5 2 4 7 8713 2 . 8 5 3 0 8 8714 2 . 8 5 3 6 9 4715 2 . 8 5 4 3 0 2716 2 . 8 5 4 9 0 9717 2 . 8 5 5 5 1 0718 2 . 8 5 6 1 2 1719 2 . 8 5 6 7 2 4720 2.857330
651 2 . 8 1 3 5 7 7652 2 . 8 1 4 2 4 7653 2 . 8 1 4 9 0 1654 2 . 8 1 5 5 7 4655 2 . 8 1 6 2 3 7656 2 . 8 1 6 9 0 0657 2 . 8 1 7 5 6 1658 2 . 8 1 8 2 2 0659 2 . 8 1 8 8 7 7660 2.819539
641 2 . 8 0 6 8 5 5642 2 . 8 0 7 5 2 6643 2 . 8 0 8 2 0 3644 2 . 8 0 8 8 8 3645 2 . 8 0 9 5 5 5646 2 . 8 1 0 2 2 9647 2 . 8 1 0 8 9 5648 2 . 8 1 1 5 7 0649 2 . 8 1 2 2 3 7650 2.812913
1,000 Logarithms 36 [email protected]
Table 1: 1,000 Logarithms
721 2 . 8 5 7 9 3 2722 2 . 8 5 8 5 3 2723 2 . 8 5 9 1 3 2724 2 . 8 5 9 7 2 6725 2 . 8 6 0 3 3 7726 2 . 8 6 0 9 2 8727 2 . 8 6 1 5 3 0728 2 . 8 6 2 1 2 9729 2 . 8 6 2 7 2 0730 2.863321
751 2 . 8 7 5 6 3 4752 2 . 8 7 6 2 1 4753 2 . 8 7 6 7 8 7754 2 . 8 7 7 3 7 0755 2 . 8 7 7 9 4 3756 2 . 8 7 8 5 1 6757 2 . 8 7 9 0 8 7758 2 . 8 7 9 6 6 2759 2 . 8 8 0 2 3 6760 2.880811
761 2 . 8 8 1 3 7 7762 2 . 8 8 1 9 4 9763 2 . 8 8 2 5 2 0764 2 . 8 8 3 0 8 7765 2 . 8 8 3 6 5 8766 2 . 8 8 4 2 1 3767 2 . 8 8 4 7 9 1768 2 . 8 8 5 3 6 0769 2 . 8 8 5 9 2 1770 2.886485
771 2 . 8 8 7 0 5 0772 2 . 8 8 7 6 0 6773 2 . 8 8 8 1 7 4774 2 . 8 8 8 7 3 5775 2 . 8 8 9 3 0 1776 2 . 8 8 9 8 5 5777 2 . 8 9 0 4 1 2778 2 . 8 9 0 9 7 3779 2 . 8 9 1 5 3 1780 2.892093
781 2 . 8 9 2 6 4 3782 2 . 8 9 3 2 0 5783 2 . 8 9 3 7 5 7784 2 . 8 9 4 3 1 2785 2 . 8 9 4 8 6 9786 2 . 8 9 5 4 1 7787 2 . 8 9 5 9 6 6788 2 . 8 9 6 5 2 3789 2 . 8 9 7 0 7 1790 2.897626
791 2 . 8 9 8 1 6 8792 2 . 8 9 8 7 1 9793 2 . 8 9 9 2 6 5794 2 . 8 9 9 8 0 3795 2 . 9 0 0 3 6 3796 2 . 9 0 0 9 0 9797 2 . 9 0 1 4 5 0798 2 . 9 0 1 9 9 7799 2 . 9 0 2 5 4 2800 2.903090
801 2 . 9 0 3 6 2 8802 2 . 9 0 4 1 6 7803 2 . 9 0 4 7 1 0804 2 . 9 0 5 2 5 3805 2 . 9 0 5 7 9 3806 2 . 9 0 6 3 3 4807 2 . 9 0 6 8 6 9808 2 . 9 0 7 4 0 7809 2 . 9 0 7 9 4 4810 2.908480
741 2 . 8 6 9 8 1 4742 2 . 8 7 0 3 9 9743 2 . 8 7 0 9 8 1744 2 . 8 7 1 5 7 1745 2 . 8 7 2 1 5 5746 2 . 8 7 2 7 1 8747 2 . 8 7 3 3 1 7748 2 . 8 7 3 8 9 7749 2 . 8 7 4 4 7 2750 2.875060
731 2 . 8 6 3 9 1 3732 2 . 8 6 4 5 0 2733 2 . 8 6 5 0 9 6734 2 . 8 6 5 6 7 8735 2 . 8 6 6 2 8 2736 2 . 8 6 6 8 7 7737 2 . 8 6 7 4 6 2738 2 . 8 6 8 0 5 0739 2 . 8 6 8 6 4 1740 2.869226
1,000 Logarithms 37 [email protected]
Table 1: 1,000 Logarithms
811 2 . 9 0 9 0 1 7812 2 . 9 0 9 5 5 3813 2 . 9 1 0 0 8 5814 2 . 9 1 0 6 1 5815 2 . 9 1 1 1 5 7816 2 . 9 1 1 6 8 8817 2 . 9 1 2 2 1 6818 2 . 9 1 2 7 4 8819 2 . 9 1 3 2 7 9820 2.913810
841 2 . 9 2 4 7 9 4842 2 . 9 2 5 3 0 7843 2 . 9 2 5 8 2 2844 2 . 9 2 6 3 3 8845 2 . 9 2 6 8 5 6846 2 . 9 2 7 3 6 4847 2 . 9 2 7 8 7 4848 2 . 9 2 8 3 9 3849 2 . 9 2 8 9 0 2850 2.929418
851 2 . 9 2 9 9 2 3852 2 . 9 3 0 4 3 4853 2 . 9 3 0 9 4 5854 2 . 9 3 1 4 4 8855 2 . 9 3 1 9 6 1856 2 . 9 3 2 4 6 6857 2 . 9 3 2 9 7 7858 2 . 9 3 3 4 8 2859 2 . 9 3 3 9 8 9860 2.934495
861 2 . 9 3 4 9 9 6862 2 . 9 3 5 5 0 0863 2 . 9 3 6 0 0 5864 2 . 9 3 6 5 1 0865 2 . 9 3 7 0 1 6866 2 . 9 3 7 5 0 0867 2 . 9 3 8 0 1 6868 2 . 9 3 8 5 1 7869 2 . 9 3 9 0 1 5870 2.939517
871 2 . 9 4 0 0 1 6872 2 . 9 4 0 5 1 4873 2 . 9 4 1 0 0 5874 2 . 9 4 1 5 0 8875 2 . 9 4 2 0 0 6876 2 . 9 4 2 5 0 1877 2 . 9 4 2 9 9 3878 2 . 9 4 3 4 8 5879 2 . 9 4 3 9 8 7880 2.944479
881 2 . 9 4 4 9 7 2882 2 . 9 4 5 4 6 2883 2 . 9 4 5 9 5 5884 2 . 9 4 6 4 5 1885 2 . 9 4 6 9 3 8886 2 . 9 4 7 4 2 0887 2 . 9 4 7 9 1 8888 2 . 9 4 8 4 0 6889 2 . 9 4 8 8 9 5890 2.949388
891 2 . 9 4 9 8 6 9892 2 . 9 5 0 3 6 0893 2 . 9 5 0 8 4 5894 2 . 9 5 1 3 3 5895 2 . 9 5 1 8 1 9896 2 . 9 5 2 3 0 6897 2 . 9 5 2 7 9 0898 2 . 9 5 3 2 7 0899 2 . 9 5 3 7 5 8900 2.954240
831 2 . 9 1 9 5 9 7832 2 . 9 2 0 1 2 3833 2 . 9 2 0 6 4 0834 2 . 9 2 1 1 6 5835 2 . 9 2 1 6 8 6836 2 . 9 2 2 2 0 0837 2 . 9 2 2 7 2 1838 2 . 9 2 3 2 4 1839 2 . 9 2 3 7 5 9840 2.924276
821 2 . 9 1 4 3 3 8822 2 . 9 1 4 8 6 6823 2 . 9 1 5 3 9 5824 2 . 9 1 5 9 2 6825 2 . 9 1 6 4 4 9826 2 . 9 1 6 9 7 4827 2 . 9 1 7 4 9 9828 2 . 9 1 8 0 2 7829 2 . 9 1 8 5 5 0830 2.919077
1,000 Logarithms 38 [email protected]
Table 1: 1,000 Logarithms
901 2 . 9 5 4 7 2 1902 2 . 9 5 5 1 9 9903 2 . 9 5 5 6 8 1904 2 . 9 5 6 1 6 2905 2 . 9 5 6 6 3 6906 2 . 9 5 7 1 2 3907 2 . 9 5 7 6 0 2908 2 . 9 5 8 0 8 3909 2 . 9 5 8 5 5 7910 2.959039
931 2 . 9 6 8 9 4 3932 2 . 9 6 9 4 1 0933 2 . 9 6 9 8 8 1934 2 . 9 7 0 3 3 4935 2 . 9 7 0 8 0 7936 2 . 9 7 1 2 7 3937 2 . 9 7 1 7 3 3938 2 . 9 7 2 1 9 9939 2 . 9 7 2 6 6 3940 2.973124
941 2 . 9 7 3 5 8 6942 2 . 9 7 4 0 4 9943 2 . 9 7 4 5 0 7944 2 . 9 7 4 9 6 8945 2 . 9 7 5 4 2 6946 2 . 9 7 5 8 8 4947 2 . 9 7 6 3 4 5948 2 . 9 7 6 8 0 6949 2 . 9 7 7 2 6 4950 2.977721
951 2 . 9 7 8 1 4 9952 2 . 9 7 8 6 3 4953 2 . 9 7 9 0 8 9954 2 . 9 7 9 5 4 3955 2 . 9 7 9 9 9 7956 2 . 9 8 0 4 5 0957 2 . 9 8 0 9 0 6958 2 . 9 8 1 3 6 1959 2 . 9 8 1 8 1 2960 2.982270
961 2 . 9 8 2 7 2 2962 2 . 9 8 3 1 6 9963 2 . 9 8 3 6 1 6964 2 . 9 8 4 0 7 2965 2 . 9 8 4 5 1 6966 2 . 9 8 4 9 7 3967 2 . 9 8 5 4 1 3968 2 . 9 8 5 8 6 8969 2 . 9 8 6 3 1 9970 2.986765
971 2 . 9 8 7 2 1 7972 2 . 9 8 7 6 6 0973 2 . 9 8 8 1 1 1974 2 . 9 8 8 5 4 8975 2 . 9 8 9 0 0 3976 2 . 9 8 9 4 4 2977 2 . 9 8 9 8 7 7978 2 . 9 9 0 3 3 7979 2 . 9 9 0 7 7 7980 2.991222
981 2 . 9 9 1 6 6 4982 2 . 9 9 2 1 0 7983 2 . 9 9 2 5 4 9984 2 . 9 9 2 9 9 0985 2 . 9 9 3 4 3 3986 2 . 9 9 3 8 7 5987 2 . 9 9 4 3 1 0988 2 . 9 9 4 7 5 4989 2 . 9 9 5 1 9 2990 2.995629
921 2 . 9 6 4 2 5 4922 2 . 9 6 4 7 2 5923 2 . 9 6 5 1 9 7924 2 . 9 6 5 6 6 5925 2 . 9 6 6 1 3 6926 2 . 9 6 6 6 0 0927 2 . 9 6 7 0 7 6928 2 . 9 6 7 5 4 7929 2 . 9 6 8 0 1 3930 2.968481
911 2 . 9 5 9 5 1 6912 2 . 9 5 9 9 9 1913 2 . 9 6 0 4 6 6914 2 . 9 6 0 9 3 3915 2 . 9 6 1 4 1 2916 2 . 9 6 1 8 9 2917 2 . 9 6 2 3 6 3918 2 . 9 6 2 8 3 8919 2 . 9 6 3 3 1 3920 2.963787
1,000 Logarithms 39 [email protected]
Table 1: 1,000 Logarithms
991 2 . 9 9 6 0 7 2992 2 . 9 9 6 5 1 1993 2 . 9 9 6 9 4 0994 2 . 9 9 7 3 8 0995 2 . 9 9 7 8 1 9996 2 . 9 9 8 2 5 7997 2 . 9 9 8 6 9 2998 2 . 9 9 9 1 2 9999 2 . 9 9 9 5 5 61000 3
1.01 0.0043171.1 0.041389π 0.497323 (using π = 22⁄7, about 3.14285)
Table 2: Small Logarithms
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Perfect squares
Perfect squares are squares of any positive integer:
0 4 9 16 25 36 49 64 81 100 121 144These numbers are the squares of the numbers 0 - 12.
The closest perfect square is the number closest and lower than a given number. For example, the closest perfect square to 58 is 49.
Table 3: Multiplication Chart
123456789
101112
1123456789
101112
22468
1012141618202224
3369
121518212427303336
448
12162024283236404448
55
1015202530354045505560
66
1218243036424854606672
77
1421283542495663707784
88
1624324048566472808896
99
18273645546372819099
118
10102030405060708090
100110120
11112233445566778899
110121132
121224364860728496
118120132144
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Table 4: Powers of 1/2
1) .52) .253) .1254) 6.25 x 10-25) 3.125 x 10-26) 1.5625 x 10-27) 7.8125 x 10-38) 3.90625 x 10-39) 1.953125 x 10-310) 9.765625 x 10-411) 4.8828125 x 10-412) 2.44140625 x 10-413) 1.220703125 x 10-414) 6.103515625 x 10-515) 3.0517578125 x 10-516) 1.52587890625 x 10-517) 7.62939453125 x 10-618) 3.814697265625 x 10-619) 1.90734863228125 x 10-620) 9.5367431640625 x 10-7
- from my notebooks
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About Me ... a slice of my life
There are not enough hours in the day for me - or, at least,
I do not feel the need to manage the time better.
November 29, 2009
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Source References
Scientific Notation:Scientific notation. (2009, November 19). In Wikipedia, The Free Encyclopedia. Retrieved 00:40, November 25, 2009, from http://en.wikipedia.org/w/index.php?title=Scientific_notation&oldid=326668059
Square Roots:Methods of computing square roots. (2009, November 19). In Wikipedia, The Free Encyclopedia. Retrieved 22:57, November 24, 2009, from http://en.wikipedia.org/w/index.php?title=Methods_of_computing_square_roots&oldid=326774986
Logarithm:Logarithm. (2009, November 22). In Wikipedia, The Free Encyclopedia. Retrieved 12:44, November 27, 2009, from http://en.wikipedia.org/w/index.php?title=Logarithm&oldid=327308217
Euler’s Method:Column: “How Euler Did It”Subtitle “Finding logarithms by hand”Source document “How Euler Did It 21 logs.PDF”Author: Ed Sandifer, July 2005Hosted on the MAA website.Date retrieved from the MAA website: 11/26/2009MAA = The Mathematical Association of AmericaSource document URL:http://www.maa.org/editorial/euler/How%20Euler%20Did%20It%2021%20logs%20.pdf
My thanks to the many contributors to Wikipedia, and to Ed Sandifer, for their generous contributions to the online community.
- Jim Hall, 2009
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