Introduction to RASON
About RASON Models and the RASON Server
Rason Subscriptions
Rason Web IDE
Creating and Running a Decision Flow
Defining Your Optimization Model
Defining Your Simulation Model
Performing Sensitivity Analysis
Defining Your Stochastic Optimization Model
Defining Your Data Science Model
Defining Custom Types
Defining Custom Functions
Defining Your Decision Table
Defining Contexts
Using the REST API
REST API Quick Call Endpoints
REST API Endpoints
Decision Flow REST API Endpoints
OData Endpoints
OData Service for Decision Flows
Creating Your Own Application
Using Arrays, For, Loops and Tables
Organization Accounts

A simple 'for()' with index set and array assignment

[Example Model: ProductMixTab3.json]

indexSets : {
    part: { value: ['chas','tube','cone','psup','elec'] },
          prod: { value: ['tv','stereo','speaker'] }
    ],
data : {
    parts : { indexCols: ['part', 'prod'],

	     value: [['chas', 'tv', 1],
			['elec', 'stereo', 1],			
			['tube', 'tv', 1],
			['cone', 'tv', 2],
			['cone', 'stereo', 2],
			['chas', 'stereo', 1],
			['cone', 'speaker', 1],
			['psup', 'tv', 1],
			['psup', 'stereo', 1],
			['elec', 'tv', 2],
			['elec', 'speaker', 1]]
    },
    inventory: { dimensions: ['part'], value: [450, 250, 800, 450, 600] }
},
constraints: {
  "for(p in 'part')": {
    "cons[p]": { formula: "sumproduct(parts[p,], x)", upper: 'inventory' }
   }
}

In the above example we again define 5 constraints in the vertical array cons[]. As in the example above, cons[] is defined as an array (rather than a table), by the implicit vertical array upper bound inventory. However, this time the index p belongs to an index set. Notice that x is not transposed here. This is because parts is a table, where slice parts[p,] is always a vertical array.

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