MPH 001 Mathematical Methods in Physics | Quick Readable Notes For IGNOU Exam 
MPH 002 Classical Mechanics I | Quick Readable Notes For IGNOU Exam 
MPH 003 Electromagnetic Theory | Quick Readable Notes For IGNOU Exam 
MPH 004 Quantum Mechanics I | Quick Readable Notes For IGNOU Exam 
MPH 005 Electronics | Quick Readable Notes For IGNOU Exam 
MPH 006 Classical Mechanics II | Quick Readable Notes For IGNOU Exam 
MPH 007 Classical Electrodynamics | Quick Readable Notes For IGNOU Exam 
MPH 008 Quantum Mechanics II | Quick Readable Notes For IGNOU Exam 
MPH 011 Statistical Mechanics | Quick Readable Notes For IGNOU Exam 
MPH 012 Condensed Matter Physics | Quick Readable Notes For IGNOU Exam 
MPH 013 Optics | Quick Readable Notes For IGNOU Exam 
MPHE 025 Materials Science | Quick Readable Notes For IGNOU Exam 
MPHE 026 Elements of Reactor Physics | Quick Readable Notes For IGNOU Exam 
MPH 016 Atomic and Molecular Physics | Quick Readable Notes For IGNOU Exam 
MPH 017 Nuclear and Particle Physics | Quick Readable Notes For IGNOU Exam 
MPHE 025 Materials Science | Quick Readable Notes For IGNOU Exam 
MPHE 026 Elements of Reactor Physics | Quick Readable Notes For IGNOU Exam 
MPHE 027 Nanoscience | Quick Readable Notes For IGNOU Exam MPH 014 Computational Physics | Quick Readable...
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| Category | : MASTER‘S DEGREE PROGRAMMES |
| Sub Category | : Master of Science (Physics) (MSCPH) |
| Products Code | : MSCPH-MPH-S3-5.52 |
| HSN Code | : 490110 |
| Language | : English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 100-130 |
| Weight | : 157gms |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
MPH 014 Computational Physics introduces essential numerical methods and computational techniques used to solve complex physical problems. Topics include numerical integration methods, Monte Carlo simulations for stochastic processes, molecular dynamics simulations, finite difference methods for solving partial differential equations, computational simulations of physical systems, data analysis techniques, and applications in modeling and prediction.
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