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Numerical analysis -- Data processing
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The concept ** Numerical analysis -- Data processing** represents the subject, aboutness, idea or notion of resources found in **University of Missouri Libraries**.

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Numerical analysis -- Data processing
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**Numerical analysis -- Data processing**represents the subject, aboutness, idea or notion of resources found in**University of Missouri Libraries**.- Label
- Numerical analysis -- Data processing

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- A collection of matrices for testing computational algorithms
- A first course in computing and numerical methods
- A guide to MATLAB : for beginners and experienced users
- A guide to MATLAB : for beginners and experienced users : updated for MATLAB 8 and Simulink 8
- A new approach to scientific computation
- A survey of numerical mathematics
- Accelerating MATLAB with GPU computing : a primer with examples
- Accelerating MATLAB with GPU computing : a primer with examples
- Advanced techniques for exploring data sets with pandas
- Algorithmes numériques : analyse et mise en œuvre
- Algorithms, their complexity and efficiency
- An introduction to numerical methods : a MATLAB approach
- An introduction to numerical methods in C++
- An introduction to numerical methods with Pascal
- An introduction to programming and numerical methods in MATLAB
- An introduction to scientific computing : twelve computational projects solved with MATLAB
- Applications of numerical techniques with C
- Applied numerical analysis using MATLAB
- Applied numerical methods for digital computation
- Applied numerical methods for digital computation with FORTRAN and CSMP
- Applied numerical methods for digital computation with Fortran
- Applied numerical methods for the microcomputer
- Applied numerical methods using MATLAB
- Applied numerical methods with personal computers
- Approximate solution methods in engineering mechanics
- Automatic programming and numerical methods of analysis
- C/C++ mathematical algorithms for scientists & engineers
- Circuit, device, and process simulation : mathematical and numerical aspects
- Compact numerical methods for computers : linear algebra and function minimisation
- Comparative analysis of numerical integration techniques
- Computational analysis with the HP 25 pocket calculator
- Computational mathematics : models, methods, and analysis with MATLAB® and MPI
- Computational methods for data analysis
- Computational techniques : analog, digital, and hybrid systems
- Computer applications of numerical methods
- Computer approximations
- Computer evaluation of mathematical functions
- Computer methods for engineering
- Computer methods for mathematical computations
- Computer methods for science and engineering
- Computer solution of linear algebraic systems
- Computerized numerical analysis
- Computers and computing
- Computing for numerical methods using Visual C++
- Computing for numerical methods using Visual C++
- Computing for scientists and engineers : a workbook of analysis, numerics, and applications
- Computing in applied science
- Digital simulation of physical systems
- Elementary computer applications in science, engineering, and business
- Elementary numerical analysis : an algorithmic approach
- Elementary numerical analysis : an algorithmic approach
- Elements of scientific computing : with 88 figures and 18 tables
- Equalities and approximations : with Fortran programming
- Error analysis of splitting algorithms for complex algorithms
- Essential MATLAB for engineers and scientists
- Essential MATLAB for engineers and scientists
- Essential MATLAB for engineers and scientists
- Essentials of numerical analysis, with pocket calculator demonstrations
- Fundamentals of numerical computation (computer-oriented numerical analysis)
- GNU Octave : beginner's guide : become a proficient Octave user by learning this high-level scientific numerical tool from the ground up
- Handbook of numerical analysis applications : with programs for engineers and scientists
- Hands-on data analysis with NumPy and Pandas : implement Python packages from data manipulation to processing
- Introduction to MATLAB 6 for engineers
- Introduction to MATLAB 7
- Introduction to MATLAB for engineers and scientists : solutions for numerical computation and modeling
- Introduction to MATLAB with numerical preliminaries
- Introduction to applied numerical analysis
- Introduction to numerical analysis and applications
- Introduction to numerical analysis using MATLAB
- Introduction to numerical computation
- Introduction to numerical computation in Pascal
- Introduction to numerical methods for parallel computers
- Introduction to precise numerical methods
- Introduction to scientific computing
- Introductory computer methods and numerical analysis
- Java number cruncher : the Java programmer's guide to numerical computing
- Joint models for longitudinal and time-to-event data : with applications in R
- Learning NumPy Array
- Learning NumPy Array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively
- Learning to program with R
- Linear numerical analysis
- MATLAB : a practical introduction to programming and problem solving
- MATLAB : a practical introduction to programming and problem solving
- MATLAB : a practical introduction to programming and problem solving
- MATLAB : a practical introduction to programming and problem solving
- MATLAB : an introduction with applications
- MATLAB : an introduction with applications
- MATLAB : an introduction with applications
- MATLAB demystified
- MATLAB for engineers explained
- MATLAB numerical calculations
- MATLAB optimization techniques
- MATLAB optimization techniques
- MATLAB primer
- MATLAB programming for engineers
- MATLAB® by example : programming basics
- MATLAB® programming for engineers
- MINTDF user's guide
- Mastering Julia : develop your analytical and programming skills further in Julia to solve complex data processing problems
- Mastering numerical computing with NumPy : master scientific computing and perform complex operations with ease
- Mathematical elements of scientific computing
- Mathematical modeling and digital simulation for engineers and scientists
- Matlab programming with applications for engineers
- Methods for solving systems of nonlinear equations
- Microcomputers in numerical analysis
- NBS-NIA, the Institute for Numerical Analysis, UCLA 1947-1954
- NumPy : beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library
- NumPy essentials : boost your scientific and analytic capabilities in no time at all by discovering how to build real-world applications with NumPy
- Numerical algorithms : origins and applications
- Numerical analysis for scientists and engineers : theory and C programs
- Numerical analysis with the TI-99/4A, Commodore 64, Apple II Plus/IIe, TRS-80 Model I/III
- Numerical computation
- Numerical computation using C
- Numerical computer methods, Part D
- Numerical computer methods, Volume 210, Part A
- Numerical computer methods, Volume 240, Part B
- Numerical computer methods, Volume 321, Part C
- Numerical computer methods, Volume 384, Part E
- Numerical computing : an introduction
- Numerical computing and mathematical analysis
- Numerical derivatives and nonlinear analysis
- Numerical mathematics : theory and computer applications
- Numerical mathematics and computing
- Numerical mathematics and computing
- Numerical mathematics and computing
- Numerical methods
- Numerical methods and FORTRAN programming : with applications in engineering and science
- Numerical methods and computers
- Numerical methods and scientific computing : using software libraries for problem solving
- Numerical methods for engineers and scientists : practical applications and methods using the Apple II series
- Numerical methods for engineers and scientists : practical applications and methods using the IBM PC
- Numerical methods for scientists and engineers
- Numerical methods for the personal computer
- Numerical methods in engineering with MATLAB
- Numerical methods in engineering with Python
- Numerical methods in engineering with Python
- Numerical methods in matrix computations
- Numerical methods in scientific computing
- Numerical methods using MATLAB
- Numerical methods using MATLAB
- Numerical methods with Fortran IV case studies
- Numerical methods with VBA programming
- Numerical methods with worked examples : MATLAB edition
- Numerical methods, software, and analysis
- Numerical optimization : theoretical and practical aspects
- Numerical optimization : theoretical and practical aspects
- Numerical optimization of computer models
- Numerical techniques for chemical and biological engineers using MATLAB : a simple bifurcation approach
- Numerical techniques for chemical and biological engineers using MATLAB : a simple bifurcation approach
- Numerische Mathematik und Rechentechnik
- Numerische Prozeduren
- OMNITAB 80 : an interpretive system for statistical and numerical data analysis
- Practical numerical methods : algorithms and programs
- Practical numerical methods for chemical engineers : using Excel with VBA
- Practical programming
- Practical programming
- Precise numerical analysis
- Procédures Algol en analyse numérique
- REAL computing made real : preventing errors in scientific and engineering calculations
- Reliable implementation of real number algorithms : theory and practice : International Seminar, Dagstuhl Castle, Germany, January 8-13, 2006, revised papers
- Rundungsfehler
- SciPy Recipes
- Software for data analysis : programming with R
- Sources and development of mathematical software
- The concrete tetrahedron : symbolic sums, recurrence equations, generating functions, asymptotic estimates
- The end of error : unum computing
- The essentials of numerical computation
- The relationship between numerical computation and programming languages : proceedings of the IFIP TC2 Working Conference on the Relationship between Numerical Computation and Programming Languages, Boulder, Colorado, U.S.A., 3-7 August, 1981
- The student edition of MATLAB, version 4 : user's guide
- To compute numerically : concepts and strategies
- Topics in advanced scientific computation
- Undocumented secrets of MATLAB-Java programming
- Use of APL/360 in numerical analysis

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