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The code snippet defines a graph and binary variables. It then creates a binary quadratic model (BQM) and adds the objective function, which assigns a cost of 1 to each edge connection in the graph. The BQM is then printed. https://davidmerwin.pieces.cloud/?p=f831468187

Graph and Binary Variables: Binary Quadratic Model

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# Define the graph and binary variables
graph = {('C', 'A'), ('B', 'D'), ('A', 'Y'), ('S', 'C'), ('E', 'R')}
binary_variables = {'A', 'B', 'C', 'D'}

# Create a binary quadratic model (BQM)
bqm = dimod.BinaryQuadraticModel.empty(dimod.BINARY)

# Add the objective function
for v, w in graph:
    bqm.add_interaction(v, w, 1) # Cost of edge connection

print(bqm)
Associated Context
Type Code Snippet ( .py )
Associated Tags Object-Oriented Programming Data Visualization Python Programming Edge Connection networkx BQM printing Binary quadratic model Binratic Model shapefile numpy Edge connection cost Dimod Framework Binary variables Graph definition netcdf algorithmic-trading BQM interaction addition BQM creation arcpy BQM empty initialization Graph Interaction Dimod framework Graph and Binary Variables Objective Function Objective function
📝 Custom Description The code sample defines a graph and binary variables. It then creates a binary quadratic model (BQM) and adds an objective function based on edge connections in the graph. The resulting BQM is printed. The conversation confirms the purpose and functionality of the code sample.
💡 Smart Description This code creates a binary quadratic model using the graph and binary variables, then adds an objective function to each edge connection.
The code snippet defines a graph and binary variables. It then creates a binary quadratic model (BQM) and adds the objective function, which assigns a cost of 1 to each edge connection in the graph. The BQM is then printed.
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Shareable Link https://davidmerwin.pieces.cloud/?p=f831468187
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