**Numerical Methods for Scientists and Engineers (1962).**

**(1)** Review by V D Barnett [1]:

**(2)**Review by Mario L Juncosa [20]:

**(3)**Review by Philip J Davis [5]:

**(4)**Review by George E Forsythe [MathSciNet]:

As a research mathematician at the Bell Telephone Laboratories, the author has worked extensively on problem solving, both by analysis and by computer. He is exceptionally well qualified to write this book, which originated as a textbook for the senior-graduate course on numerical analysis at Stanford University, which he taught in 1960-61.

When a physical scientist or engineer has a quantitative problem to solve, it is important that he have a wide variety of tools. Apart from the experimental methods and analytical tools of his own discipline, he should be able to use mathematical analysis (either exact or approximate), numerical methods on a digital computer, simulation on a digital computer, or even pure intuition. Moreover, he should be facile at combining these methods with each other and with those of his own discipline, for each will reinforce the other.

How, then, do we train a scientist or engineer in these tools? Generally, we subject him to a succession of narrow specialists: he learns modern mathematical analysis from pure mathematicians; he learns numerical analysis as a branch of classical mathematics; he learns digital computing from a specialist in programming; and he learns his own field largely apart from any of the above.

The author's point of view is that one should use a balanced combination of these different tools, and look at all aspects of the problem before rushing to any attack. He wishes to discard special tricks, and to develop general attacks on problems. He points out missing theories, together with the well-developed ones. In short, the author conceives of his subject not as a branch of pure mathematics, not as a branch of applied mathematics, and not as a branch of computer science, but rather as part of an organic whole of scientific research and development. But in the course of developing the material he teaches us a great deal about each of these fields, and particularly about computer science.

**Numerical Methods for Scientists and Engineers (2nd edition) (1973):**

**(1) **From the Preface:

**(2)**Review by J S [23]:

**(3)**Review by W J Cunningham [4]:

**Introduction to Applied Numerical Analysis (1971):**

**(1)** Review by Barron Brainerd [3]:

**(2)**Review by John Karon [21]:

**Digital Filters (2nd edition) (1983):**

**(1)** Review by Peter Bloomfield [2]:

**Computers and Society (1972):**

**(1) **From the Preface:

**(2)**Review by Michael Thompson [24]:

**Coding and information theory (1980):**

**(1)** Review by Eberhard Lüdde [MathSciNet]:

**The Art of Probability for Scientists and Engineers (1991):**

**(1)** Review by Peter Guttorp [6]: