Ebazlea

Opens the Solver dialog. A solver allows you to solve mathematical problems with multiple unknown variables and a set of constraints on the variables by goal-seeking methods.

Solver settings

Target Cell

Enter or click the cell reference of the target cell. This field takes the address of the cell whose value is to be optimized.

Optimize results to

• Maximum: Try to solve the equation for a maximum value of the target cell.

• Minimum: Try to solve the equation for a minimum value of the target cell.

• Value of: Try to solve the equation to approach a given value of the target cell.

  Enter the value or a cell reference in the text field.

By Changing Cells

Sartu aldatu daitekeen gelaxka-barrutia. Horiek ekuazioen aldagaiak dira.

Limiting Conditions

Add the set of constraints for the mathematical problem. Each constraint is represented by a cell reference (a variable), an operator, and a value.

• Cell reference: Enter a cell reference of the variable.

  Click the Shrink button to shrink or restore the dialog. You can click or select cells in the sheet. You can enter a cell reference manually in the input box.

• Operator: Select an operator from the list. Use Binary operator to restrict your variable to 0 or 1. Use the Integer operator to restrict your variable to take only integer values (no decimal part).

• Value: Enter a value or a cell reference. This field is ignored when the operator is Binary or Integer.

• Remove button: Click to remove the row from the list. Any rows from below this row move up.

Options

Opens the Solver Options dialog.

The Solver Options dialog let you select the different solver algorithms for either linear and non-linear problems and set their solving parameters.

Ebatzi

Egin klik eragiketa uneko ezarpenekin ebazteko. Elkarrizketa-koadroaren ezarpenak uneko dokumentua itxi arte gordeko dira.

Ebazlearekin ekuazioak ebazteko

Ebazlearen prozesuaren helburua hauxe da: helburuko gelaxkan balio optimizatu bat lortzeko balioak kalkulatzea ekuazio batean. Balio optimizatuari "helburu" ere esaten zaio. Helburuko gelaxkako balioa gehieneko balioa, gutxieneko balioa edo balio jakin baten hurbilketa izan beharko lukeen ere aukeratu dezakezu.

Hasierako aldagai-balioak Gelaxkak aldatuz koadroan sartzen duzun gelaxka-barruti laukizuzen batean txertatzen dira.

Gelaxka batzuentzat murriztapenak ezartzen dituzten mugatze-baldintzak defini ditzakezu. Adibidez, aldagaietako edo gelaxketako bat beste aldagai bat baino handiagoa edo balio jakin bat baino handiagoa ez izateko murriztapena ezar dezakezu. Aldagaietako batek edo gehiagok osoko balioak (dezimalik gabeko balioak) edo balio bitarrak (0 eta 1 onartzen dira) izan behar dutela dioen murriztapena ere ezar dezakezu.

Ebazle ez-linealak erabiltzea

Berdin dio DEPS edo SCO erabiltzen den, hasteko Tresnak - Ebazlea aukerara joan behar da eta optimizatuko den gelaxka, norazkoa (minimizazioa, maximizazioa) eta helburua lortzeko aldatuko diren gelaxkak ezarri behar dira. Ondoren, joan 'Aukerak' atalera eta zehaztu erabiliko den ebazlea eta, beharrezkoa bada, doitu bere parametroak.

There is also a list of constraints you can use to restrict the possible range of solutions or to penalize certain conditions. However, in case of the evolutionary solvers DEPS and SCO, these constraints are also used to specify bounds on the variables of the problem. Due to the random nature of the algorithms, it is highly recommended to do so and give upper (and in case "Assume Non-Negative Variables" is turned off also lower) bounds for all variables. They don't have to be near the actual solution (which is probably unknown) but should give a rough indication of the expected size (0 ≤ var ≤ 1 or maybe -1000000 ≤ var ≤ 1000000).

Bounds are specified by selecting one or more variables (as range) on the left side and entering a numerical value (not a cell or a formula) on the right side. That way you can also choose one or more variables to be Integer or Binary only.