Textbook in PDF format

Leading experts in inverse problems have joined to produce a new edition of Inverse Engineering Handbook. Along with the revision of the existing chapters, this second edition includes four new chapters: a new chapter on the classical Tikhonov regularization technique, a new chapter on the topic of filter coefficient concepts for linear problems, a chapter dedicated to Bayesian solutions of inverse problems, and finally, a new chapter on machine learning and artificial intelligence. The focus of most of the work in this new edition is on parabolic and elliptic problems typified by transient and steady-state heat conduction; however, the scope of application extends to any mathematically similar problems (in chemical transport, mass transfer, etc.)