Analysis for computer scientists : foundations, methods, and algorithms /
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
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