MCM Essential Tool: Outstanding Paper Collection Organized by Model Type

Dijkstra's Algorithm - Graph search method for finding shortest paths between nodes using greedy optimization approach with priority queue implementation

Dynamic Programming - Problem-solving technique that breaks down complex problems into overlapping subproblems, typically implemented with memoization or tabulation

Neural Networks - Machine learning models inspired by biological neural systems, featuring layered architectures with activation functions and backpropagation training

Variance Analysis - Statistical method for comparing means across multiple groups using F-tests and sum of squares calculations

Cluster Analysis - Unsupervised learning technique for grouping similar data points using algorithms like K-means or hierarchical clustering

Interpolation Algorithms - Numerical methods for estimating unknown values between known data points, including linear, polynomial and spline interpolation

Cellular Automata - Discrete model consisting of grid cells evolving through state transitions based on neighboring cell states

Queuing Theory - Mathematical study of waiting lines using stochastic processes to model service systems and optimize resource allocation

ARMA Time Series - AutoRegressive Moving Average models for forecasting temporal data using combination of past values and error terms

Simulated Annealing - Probabilistic optimization technique inspired by metallurgy that uses temperature parameters to escape local optima

Support Vector Machines - Supervised learning models for classification and regression using kernel functions to find optimal hyperplanes

TOPSIS Method - Technique for Order Preference by Similarity to Ideal Solution, a multi-criteria decision analysis approach

Floyd Algorithm - Dynamic programming solution for finding shortest paths in weighted graphs with positive or negative edge weights

Grey Prediction - Forecasting method for systems with limited data using differential equations and accumulated generating operations

Logistic Regression - Statistical model for binary classification using sigmoid function to estimate probabilities

Factor Analysis - Multivariate technique for identifying underlying variables that explain patterns in observed data correlations

Principal Component Analysis - Dimensionality reduction method that transforms correlated variables into orthogonal components

Decision Tree - Machine learning model that uses tree-like structure with internal nodes representing feature tests and leaves representing outcomes

Regression Analysis - Statistical process for estimating relationships between variables using techniques like linear, multiple, or nonlinear regression

Analytic Hierarchy Process - Structured technique for organizing and analyzing complex decisions based on mathematics and psychology