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Science - Mathematics.
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作品:
22 作品在 11 項出版品 11 種語言
書目資訊
Mathematical methods for scientists and engineers :linear and nonlinear systems /
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Numerical solution of partial differential equations in science and engineering /
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Data analysis :a bayesian tutorial /
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Integral Methods in Science and Engineering :Techniques and Applications /
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Theory and applications of stochastic processesan analytical approach /
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Advanced Computational Methods in Science and Engineering
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Mathematical analysis of problems in the natural sciences
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Integral methods in science and engineeringcomputational and analytic aspects /
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Mathematics and scientific representation
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Mathematics for physicists and engineersfundamentals and interactive study guide /
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On meaningful scientific laws
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Integral methods in science and engineeringtheorical and computational advances /
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Graph theory with algorithms and its applications :in applied science and technology /
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Mathematical and computational approaches in advancing modern science and engineering
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Learning scientific programming with Python /
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Contributions to partial differential equations and applications
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Learning scientific programming with Python
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Approximation and computation in science and engineering
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An introduction to groups and their matrices for science students
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Integral methods in science and engineeringapplications in theoretical and practical research /
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Handbook of fractional calculus for engineering and science /
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Mathematical methods for engineering and science
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主題
Engineering mathematics.
Appl.Mathematics/Computational Methods of Engineering.
Graph theory.
Mathematical and Computational Biology.
Matrices.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Numerical calculations.
Diffusion processes.
Probability Theory and Stochastic Processes.
Applications of Mathematics.
Mathematics
Numerical Analysis.
Biological Techniques.
Calculus of Variations and Optimization.
Technology
Science
Mechanical Engineering.
Algorithm Analysis and Problem Complexity.
Python (Computer program language)
Algebraic Geometry.
Group theory.
Numerical analysis.
Engineering Mathematics.
Mathematics.
Mathematical Methods in Physics.
Ordinary Differential Equations.
Statistical Physics, Dynamical Systems and Complexity.
Numerical and Computational Physics.
Analysis.
Mathematical physics.
Integral equations
Engineering Fluid Dynamics.
Approximation theory.
Number Theory.
Numerical and Computational Methods in Engineering.
Computational Science and Engineering.
Integral equations.
Continuum Mechanics and Mechanics of Materials.
Math. Applications in Chemistry.
Data Mining and Knowledge Discovery.
Fractional calculus.
Maximum entropy method.
Mathematical analysis.
Partial Differential Equations.
Computational Mathematics and Numerical Analysis.
Information and Communication, Circuits.
Epidemiology.
Differential equations, Partial
Maximum principles (Mathematics)
Differential Equations
Integral Equations.
Stochastic processes.
Engineering
Theoretical, Mathematical and Computational Physics.
Differential Geometry.
Physics.
Computer Science.
Math Applications in Computer Science.
Mathematical Modeling and Industrial Mathematics.
Simulation and Modeling.
Engineering.
Engineering mathematics
Mathematical physics
Mathematical Applications in the Physical Sciences.
Theoretical and Computational Chemistry.
Difference and Functional Equations.
Philosophy of Science.
Differential equations, Partial.
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