Analysis for computer scientists : foundations, methods, and algorithms / Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley.
Material type:
TextSeries: Undergraduate topics in computer sciencePublisher: Cham, Switzerland : Springer, 2018Edition: Second editionDescription: 1 online resourceContent type: - text
- computer
- online resource
- 9783319911557
- 3319911554
- Computer science
- Computer science -- Mathematics
- Computer science_xMathematics
- Engineering mathematics
- Computational complexity
- Mathematics -- Counting & Numeration
- Mathematics -- Applied
- Computers -- Data Processing
- Numerical analysis
- Maths for engineers
- Discrete mathematics
- Maths for computer scientists
- 004.0151 22
- QA76.9.M35
| Item type | Current library | Call number | Status | |
|---|---|---|---|---|
Цахим ном
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Эрдэм шинжилгээний номын сан | 004.0151 | Available |
Academic
Numbers Real-Valued Functions Trigonometry Complex Numbers Sequences and Series Limits and Continuity of Functions The Derivative of a Function Applications of the Derivative Fractals and L-Systems Antiderivatives Definite Integrals Taylor Series Numerical Integration Curves Scalar-Valued Functions of Two Variables Vector-Valued Functions of Two Variables Integration of Functions of Two Variables Linear Regression Differential Equations Systems of Differential Equations Numerical Solution of Differential Equations Appendix A: Vector Algebra Appendix B: Matrices Appendix C: Further Results on Continuity Appendix D: Description of the Supplementary Software.
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English
Print version record.