C Fundamentals for Engineers: C-Based Numerical Methods, Data Structures, and High-Performance Algor

Unlock the full computational power of C-the language behind spacecraft navigation, embedded control loops, and real-time analytics. From precision floating-point arithmetic to multithreaded finite-difference solvers, this reference distills decades of engineering know-how into a single volume designed to accelerate your projects and your career.

- Numerical Stability & Precision Control - tame rounding error and overflow before they derail your simulation.
- Matrix & Vector Algebra - implement LU decomposition, Conjugate Gradient, and Singular Value Decomposition from scratch.
- Signal Processing in C - build FFTs, FIR filters, and frequency-response analyzers without external libraries.
- Optimization Toolkits - code Gradient Descent, Newton-Raphson, and constrained Lagrange solvers for design and calibration.
- Probability & Monte Carlo - generate random variates, MCMC chains, and statistical tests for risk analysis.
- High-Performance Parallelism - harness pthreads and OpenMP with cache-aware data layouts for massive speedups.
- Control & Estimation Algorithms - craft rock-solid PID loops, Kalman filters, and state-space models directly in C.

- Step-by-step code listings ready to drop into production.
- Engineering-grade explanations of why each algorithm works, not just how.
- Portable, standards-compliant techniques validated on Windows, Linux, and macOS toolchains.
- Designed to pair with MATLAB, Python, and Fortran workflows for seamless integration.

- Mechanical, electrical, and aerospace engineers who demand deterministic performance.
- Applied scientists moving prototypes out of spreadsheets and into optimized C.
- Senior students preparing for industry or graduate research.