# 4.2.2.6. Packing constraints¶

## bin_packing¶

 predicate bin_packing(int: c, array [int] of var int: bin, array [int] of int: w)  Requires that each item i with weight w[i], be put into bin[i] such that the sum of the weights of the items in each bin does not exceed the capacity c. Assumptions: forall i, w[i] >=0 c >=0

## bin_packing_capa¶

 predicate bin_packing_capa(array [int] of int: c, array [int] of var int: bin, array [int] of int: w)  Requires that each item i with weight w[i], be put into bin[i] such that the sum of the weights of the items in each bin b does not exceed the capacity c[b]. Assumptions: forall i, w[i] >=0 forall b, c[b] >=0

 1. predicate bin_packing_load(array [int] of var int: load, array [int] of var int: bin, array [int] of int: w) 2. function array [int] of var int: bin_packing_load(array [int] of var int: bin, array [int] of int: w)  Requires that each item i with weight w[i], be put into bin[i] such that the sum of the weights of the items in each bin b is equal to load[b]. Assumptions: forall i, w[i] >=0 Returns the load of each bin resulting from packing each item i with weight w[i] into bin[i], where the load is defined as the sum of the weights of the items in each bin. Assumptions: forall i, w[i] >=0

## diffn¶

 predicate diffn(array [int] of var int: x, array [int] of var int: y, array [int] of var int: dx, array [int] of var int: dy)  Constrains rectangles i, given by their origins (x[i], y[i]) and sizes (dx[i], dy[i]), to be non-overlapping. Zero-width rectangles can still not overlap with any other rectangle.

## diffn_k¶

 predicate diffn_k(array [int,int] of var int: box_posn, array [int,int] of var int: box_size)  Constrains k-dimensional boxes to be non-overlapping. For each box i and dimension j, box_posn[i, j] is the base position of the box in dimension j, and box_size[i, j] is the size in that dimension. Boxes whose size is 0 in any dimension still cannot overlap with any other box.

## diffn_nonstrict¶

 predicate diffn_nonstrict(array [int] of var int: x, array [int] of var int: y, array [int] of var int: dx, array [int] of var int: dy)  Constrains rectangles i, given by their origins (x[i], y[i]) and sizes (dx[i], dy[i]), to be non-overlapping. Zero-width rectangles can be packed anywhere.

## diffn_nonstrict_k¶

 predicate diffn_nonstrict_k(array [int,int] of var int: box_posn, array [int,int] of var int: box_size)  Constrains k-dimensional boxes to be non-overlapping. For each box i and dimension j, box_posn[i, j] is the base position of the box in dimension j, and box_size[i, j] is the size in that dimension. Boxes whose size is 0 in at least one dimension can be packed anywhere.

## geost¶

 predicate geost(int: k, array [int,int] of int: rect_size, array [int,int] of int: rect_offset, array [int] of set of int: shape, array [int,int] of var int: x, array [int] of var int: kind)  A global non-overlap constraint for k dimensional objects. It enforces that no two objects overlap. Parameters: k: the number of dimensions rect_size: the size of each box in k dimensions rect_offset: the offset of each box from the base position in k dimensions shape: the set of rectangles defining the i-th shape. x: the base position of each object. x[i,j] is the position of object i in. dimension j. kind: the shape used by each object.

## geost_bb¶

 predicate geost_bb(int: k, array [int,int] of int: rect_size, array [int,int] of int: rect_offset, array [int] of set of int: shape, array [int,int] of var int: x, array [int] of var int: kind, array [int] of var int: l, array [int] of var int: u)  A global non-overlap constraint for k dimensional objects. It enforces that no two objects overlap, and that all objects fit within a global k dimensional bounding box. Parameters: k: the number of dimensions rect_size: the size of each box in k dimensions rect_offset: the offset of each box from the base position in k dimensions shape: the set of rectangles defining the i-th shape. x: the base position of each object. x[i,j] is the position of object i in dimension j. kind: the shape used by each object. l: is an array of lower bounds, l[i] is the minimum bounding box for all objects in dimension i. u: is an array of upper bounds, u[i] is the maximum bounding box for all objects in dimension i.

## geost_nonoverlap_k¶

 predicate geost_nonoverlap_k(array [int] of var int: x1, array [int] of int: w1, array [int] of var int: x2, array [int] of int: w2)  A global non-overlap constraint for 2 dimensional objects. It enforces that no two objects overlap and zero-length objects do not appear in the middle of other objects. Parameters: x1: first coordinate of each object w1: width in first dimension for each object x2: second coordinate of each object w2: width in second dimension for each object

## geost_smallest_bb¶

 predicate geost_smallest_bb(int: k, array [int,int] of int: rect_size, array [int,int] of int: rect_offset, array [int] of set of int: shape, array [int,int] of var int: x, array [int] of var int: kind, array [int] of var int: l, array [int] of var int: u)  A global non-overlap constraint for k dimensional objects. It enforces that no two objects overlap, and that all objects fit within a global k dimensional bounding box. In addition, it enforces that the bounding box is the smallest one containing all objects, i.e., each of the 2k boundaries is touched by at least by one object. Parameters: k: the number of dimensions rect_size: the size of each box in k dimensions rect_offset: the offset of each box from the base position in k dimensions shape: the set of rectangles defining the i-th shape. x: the base position of each object. x[i,j] is the position of object i in dimension j. kind: the shape used by each object. l: is an array of lower bounds, l[i] is the minimum bounding box for all objects in dimension i. u: is an array of upper bounds, u[i] is the maximum bounding box for all objects in dimension i.

## knapsack¶

 predicate knapsack(array [$$I] of int: w, array [$$I] of int: p, array [I] of var int: x, var int: W, var int: P)  Requires that items are packed in a knapsack with certain weight and profit restrictions. Assumptions: Weights w and profits p must be non-negative w, p and x must have the same index sets Parameters: w: weight of each type of item p: profit of each type of item x: number of items of each type that are packed W: sum of sizes of all items in the knapsack P: sum of profits of all items in the knapsack