Books like C by Dissection by Al Kelley

Advanced Engineering Mathematics, by Erwin Kreyszig, is a foundational textbook for mechanical, electrical, civil, and chemical engineering students, covering differential equations, mathematical physics, and applied analysis.

Dive into C programming with a focus on fundamentals, pointers, memory management, multithreading, and network programming, while mastering tools like the compiler, make, and archiver.

**The X Windows System:** - [Volume 0: X Protocol Reference Manual](/works/OL4347519W/) - [Volume 1: Xlib Programming Manual](/works/OL4347525W/) - [Volume 2: Xlib Reference Manual](/works/OL19371049W/) - [Volume 3: X Window System User’s Guide](/works/OL2158084W/) - [Volume 4: X Toolkit Intrinsics Programming Manual](/works/OL8272931W/) - [Volume 5: X Toolkit Intrinsics Reference Manual](/works/OL18304438W/) - [Volume 6: Motif Programming Manual](/works/OL3862243W/) - [Volume 7a: XView Programming Manual](/works/OL3862248W/) - [Volume 7b: XView Reference Manual](/works/OL3862247W/) **Printing History:**

August 1988:

First Printing.

November 1988:

Second Printing. Minor revisions.

May 1989:

Third Printing. Release 3 updates added. Minor revisions.

April 1990:

Second Edition covers Release 3 and Release 4.

July 1990:

Minor revisions

December 1991:

Minor revisions

July 1992:

Third Edition covers Release 4 and Release 5.

March 1993:

Minor revisions

Teach Yourself C++ offers a systematic path from fundamentals to advanced C++ features, featuring practical examples, self‑assessment checks, and an answer key, all delivered through Schildt’s proven mastery method.

This well-respected text gives an introduction to the modern approximation techniques andexplains how, why, and when the techniques can be expected to work. The authors focus on building students' intuition to help them understand why the techniques presented work in general, and why, in some situations, they fail. With a wealth of examples and exercises, the text demonstrates the relevance of numerical analysis to a variety of disciplines and provides ample practice for students. The applications chosen demonstrate concisely how numerical methods can be, and often must be, applied in real-life situations. In this edition, the presentation has been fine-tuned to make the book even more useful to the instructor and more interesting to the reader. Overall, students gain a theoretical understanding of, and a firm basis for future study of, numerical analysis and scientific computing.