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I would recommend you start with either a Red-Black tree, or an AVL tree.

The red-black tree is faster for inserting, but the AVL tree is has a slight edge for lookups. The AVL tree is probably a little easier to implement, but not by all that much based on my own experience.

The AVL tree ensures that the tree is balanced after each insert or delete (no sub-tree has a balance factor greater than 1/-1, while the Red-black tree ensures that the tree is reasonably balanced at any time.

I would recommend you start with either a Red-Black tree, or an AVL tree.

The red-black tree is faster for inserting, but the AVL tree is has a slight edge for lookups. The AVL tree is probably a little easier to implement, but not by all that much based on my own experience.

The AVL tree ensures that the tree is balanced after each insert or delete (no sub-tree has a balance factor greater than 1/-1, while the Red-black tree ensures that the tree is reasonably balanced at any time.

I would recommend you start with either a Red-Black tree, or an AVL tree.

The red-black tree is faster for inserting, but the AVL tree has a slight edge for lookups. The AVL tree is probably a little easier to implement, but not by all that much based on my own experience.

The AVL tree ensures that the tree is balanced after each insert or delete (no sub-tree has a balance factor greater than 1/-1, while the Red-black tree ensures that the tree is reasonably balanced at any time.

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I would recommend you start with either a Red-Black tree, or an AVL tree.

The red-black tree is faster for inserting, but the AVL tree is has a slight edge for lookups. The AVL tree is probably a little easier to implement, but not by all that much based on my own experience.

The AVL tree ensures that the tree is balanced after each insert or delete (no sub-tree has a balance factor greater than 1/-1, while the Red-black tree ensures that the tree is reasonably balanced at any time.