M
Monte Carlo
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What is Monte Carlo?
Monte Carlo methods are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other approaches. Monte Carlo methods are heavily used in fields such as physics, engineering, finance, and statistics to simulate complex systems, estimate probabilities, and optimize solutions.
What other technologies are related to Monte Carlo?
Monte Carlo Competitor Technologies
F
Finesim
Alternative simulation tool. Simulates system behavior for performance and reliability, competing with some applications of Monte Carlo methods.
H
HSPICE
Circuit simulator. Competes with Monte Carlo simulations in certain analog and mixed-signal verification tasks by using other methods.
m
molecular dynamics
Alternative simulation approach for physical systems. Although sometimes paired, molecular dynamics usually has its own methods to achieve similar results.
T
Tempus
Static timing analysis tool. Another alternative to Monte Carlo, providing different techniques for estimating circuit timing.
S
Spectre
Another circuit simulator. Simulates circuit behavior, which competes with Monte Carlo in circuit verification.
MCNP
Monte Carlo N-Particle is a general-purpose radiation transport code that uses Monte Carlo methods itself, however, it provides a specific implementation that can compete with custom Monte Carlo implementations.
P
Primetime
Another static timing analysis tool. A different simulation method for estimating timing, which is competing with timing simulations.
S
SPICE
General purpose circuit simulation program. There are other circuit simulation methods that perform similar tasks to Monte Carlo simulations.
Number of organizations that mention technology
1,103
Monte Carlo
72
Finesim
431
HSPICE
416
molecular dynamics
311
Tempus
436
Spectre
398
MCNP
469
Primetime
3,134
SPICE
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Monte Carlo Complementary Technologies
E
Expectations
Complements the analysis of Monte Carlo results by providing a framework for verification and validation of results. Generates assertions about data.
Python
Often used for writing Monte Carlo simulations or for analyzing results.
MATLAB
Can be used for pre and post processing of data or for implementing custom Monte Carlo Simulations.
Number of organizations that mention technology
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Which job functions commonly mention Monte Carlo?
Nuclear Engineer
1.1% of all Nuclear Engineer jobs mention Monte Carlo
View 24
jobs on Sumble
Analytics Engineer
0.5% of all Analytics Engineer jobs mention Monte Carlo
View 102
jobs on Sumble
Data Governance
0.2% of all Data Governance jobs mention Monte Carlo
View 87
jobs on Sumble
Data Engineer
0.1% of all Data Engineer jobs mention Monte Carlo
View 463
jobs on Sumble
Engineer
1478 Engineer jobs mention Monte Carlo
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jobs on Sumble
Which organizations are mentioning Monte Carlo?
Cea - Commissariat à l'Energie Atomique
Utilities
Cisco Systems
Scientific and Technical Services
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