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Book*Algorithms with Julia*

CAIML

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(In the) News

Curriculum Vitae

Book

CAIML

Research

START Project

Publications: Journals

Publications: Conferences

Invited Presentations

Teaching

Welcome to

Clemens Heitzinger's

homepage!

Clemens Heitzinger's

homepage!

*Algorithms with Julia* is about the open-source programming
language *Julia* and about
optimization, machine learning, and differential equations.

- Front Matter, pages i–xxi
- The Julia Language
- Front Matter, pages 1–1
- An Introduction to the Julia Language, pages 3–15
- Functions, pages 17–37
- Variables, Constants, Scopes, and Modules, pages 39–49
- Built-in Data Structures, pages 51–77
- User Defined Data Structures and the Type System, pages 79–98
- Control Flow, pages 99–129
- Macros, pages 131–152
- Arrays and Linear Algebra, pages 153–226

- Algorithms for Differential Equations
- Front Matter, pages 227–227
- Ordinary Differential Equations, pages 229–256
- Partial-Differential Equations, pages 257–304

- Algorithms for Optimization
- Front Matter, pages 305–305
- Global Optimization, pages 307–328
- Local Optimization, pages 329–361

- Algorithms for Machine Learning
- Front Matter, pages 363–363
- Neural Networks, pages 365–396
- Bayesian Estimation, pages 397–431

- Back Matter, pages 433–439

*Algorithms with Julia* is available from

- Page 290:
*x*≥ 0 instead of*x*≥ 1, twice in the formulas for*u*(*x*,*y*) and $A(x, y). - Page 299, equation (10.38): |
*i*−*j*| > 1 instead of |*i*−*j*| > 2.

I am in particular interested in any typos you may find and in suggestions for material to be included in future editions.