Main 2000 Solved Problems in Numerical Analysis

2000 Solved Problems in Numerical Analysis

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One of the great attractions of mathematics, to its devotees, may be that a well posed problem does in fact have a unique and exact solution. This idea of absolute precision has a sort of beauty that in its own way is unsurpassable. It may also be what frightens away many who feel more comfortable where there are shades of gray. In numerical analysis we enjoy a little bit of both worlds but are much closer to the former than the latter. The perfect solution is definitely out there somewhere in thought space, and knowledge of this fact has sustained many a wearisome effort to get close to it. In what direction does it lie? How close to it are we now? In the year 1225 Leonardo of Pisa studied the equation x^3 + 2x^2 + 10x - 20 = 0 seeking its one real root, and produced x = 1.368808107. Nobody knows his method, but it is a remarkable achievement for his time. Leonardo surely knew it was not perfection and may have wondered at the true identity of the target number, but must have derived great pleasure from realizing how close he had come. Numerical analysis problems do have exact solutions, but the thrill of victory does not wait for their discovery. It is enough to come close. Error is expected. Without it we would be out of business. There is no need of approximation where the real thing is within grasp. The following problems illustrate mathematics with some controlled shades of gray. It has been a pleasure to work them through. I was almost sorry to come to the 2000th. Though error is the substance of our subject, mistakes and blunders are not. I hope there are none, but experience suggests otherwise. I will be grateful to anyone who takes the time to point them out, in the kinder and gentler way that my now advanced years can withstand.
Request Code : ZLIBIO3656742
Categories:
Year:
1990
Edition:
1
Publisher:
McGraw-Hill Publishing Company
Language:
English
Pages:
698
ISBN 10:
0070552339
ISBN:
0070552339
Series:
Schaum's Solved Problems Series

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