Nuclear Mathematics: Simplifying Complex Equations in Reactor Physics

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Nuclear reactor physics requires a solid understanding of transport theory and diffusion theory, which involve complex mathematics including partial differential equations. Advanced Engineering Mathematics by Erwin Kreyszig is recommended as a resource that covers essential topics like ordinary differential equations, linear algebra, and partial differential equations. The book also includes sections on Fourier analysis and numerical methods, which are relevant to nuclear mathematics. A link to purchase the book online is provided, along with the suggestion to look for used copies. This resource can aid in overcoming challenges faced in understanding nuclear reactor physics.
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Is there any book that details the nuclear mathematics equations?
i am facing a problems in reading "Nuclear reactor physics", it contains complex mathematics.

B/R
 
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Nuclear reactor physics involves primarily transport theory and it's simplification, diffusion theory, both of which require knowledge of partial differential equations and systems of equations.

Perhaps Advanced Engineering Mathematics, 9th Edition by Erwin Kreyszig would help.

PART A: ORDINARY DIFFERENTIAL EQUATIONS (ODE'S).
Chapter 1. First-Order ODE's.

Chapter 2. Second Order Linear ODE's.

Chapter 3. Higher Order Linear ODE's.

Chapter 4. Systems of ODE's Phase Plane, Qualitative Methods.

Chapter 5. Series Solutions of ODE's Special Functions.

Chapter 6. Laplace Transforms.

PART B: LINEAR ALGEBRA, VECTOR CALCULUS.

Chapter 7. Linear Algebra: Matrices, Vectors, Determinants: Linear Systems.

Chapter 8. Linear Algebra: Matrix Eigenvalue Problems.

Chapter 9. Vector Differential Calculus: Grad, Div, Curl.

Chapter 10. Vector Integral Calculus: Integral Theorems.

PART C: FOURIER ANALYSIS, PARTIAL DIFFERENTIAL EQUATIONS.

Chapter 11. Fourier Series, Integrals, and Transforms.

Chapter 12. Partial Differential Equations (PDE's).

Chapter 13. Complex Numbers and Functions.

Chapter 14. Complex Integration.

Chapter 15. Power Series, Taylor Series.

Chapter 16. Laurent Series: Residue Integration.

Chapter 17. Conformal Mapping.

Chapter 18. Complex Analysis and Potential Theory.

PART E: NUMERICAL ANALYSIS SOFTWARE.

Chapter 19. Numerics in General.

Chapter 20. Numerical Linear Algebra.

Chapter 21. Numerics for ODE's and PDE's.

PART F: OPTIMIZATION, GRAPHS.

Chapter 22. Unconstrained Optimization: Linear Programming.

Chapter 23. Graphs, Combinatorial Optimization.

PART G: PROBABILITY; STATISTICS.

Chapter 24. Data Analysis: Probability Theory.

Chapter 25. Mathematical Statistics.
 
Do u have the link for this book?

Thaks...
but do u have the link for this book?
 
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