004.0151
   Oberguggenberger, Michael,
                  Analysis for computer scientists : foundations, methods, and algorithms / Michael Oberguggenberger, Alexander Ostermann ; translated in collaboration with Elisabeth Bradley. - Second edition. - 1 online resource. - - Undergraduate topics in computer science . - Undergraduate topics in computer science. .

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.

Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time;


Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.


English

                 9783319911557 3319911554

10.1007/978-3-319-91155-7 doi

com.springer.onix.9783319911557 Springer Nature

GBB8K7003 bnb

                 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., 


Electronic books.

QA76.9.M35